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the epipolar geometry toolbox multiple view geometry and visual servoing for matlab gian luca mariottini and domenico prattichizzo dipartimento di ingegneria dell informazione universita di siena via roma 56 53100 ...

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                                     The Epipolar Geometry Toolbox:
                        multiple view geometry and visual servoing
                                                             for MATLAB
                                                  Gian Luca Mariottini and Domenico Prattichizzo
                                            Dipartimento di Ingegneria dell’Informazione, Universita` di Siena
                                                             Via Roma 56, 53100 Siena, Italy
                                                       Email: {gmariottini,prattichizzo}@dii.unisi.it
                Abstract—TheEpipolarGeometryToolbox(EGT)wasrealized                Let us emphasize that EGT can also be successfully em-
             to provide a MATLAB user with an extensible framework for          ployed in many other contexts when single and multiple view
             the creation and visualization of multi-camera scenarios and the   geometry is involved as, for example, in visual odometry and
             manipulation of the visual information and the geometry between    structure from motion applications [23] [22]. For example in
             them. Functions provided, for both pin-hole and panoramic          the first work an interesting “visual odometry” approach for
             vision sensors, include camera placement and visualization,
             computation and estimation of epipolar geometry entities and       robot SLAM is proposed in which the multiple view geometry
             many others. The compatibility of EGT with the Robotics            is used to estimate the camera motion from pairs of images
             Toolbox [7] allows to address general vision-based control issues. without requiring the knowledge of the observed scene.
             Two applications of EGT to visual servoing tasks are here             EGT, as the Robotics Toolbox, is a simulation environment,
             provided. This article introduces the Toolbox in tutorial form.    but the EGT functions can be easily embedded by the user in
             Examples are provided to show its capabilities. The complete
             toolbox, the detailed manual and demo examples are freely          Simulink models. In this way, thanks to the MATLAB Real-
             available on the EGT web site [21].                                TimeWorkshop,theuser can generate and execute stand-alone
                                   I. INTRODUCTION                              C code for many off-line and real-time applications.
                                                                                   A distinguishable remark of EGT is that it can be used
                The Epipolar Geometry Toolbox (EGT) is a toolbox de-            to create and manipulate visual data provided by both pin-
             signed for MATLAB [29]. MATLAB is a software envi-                 hole and panoramic cameras. Catadioptric cameras, due to
             ronment, available for a wide range of platforms, designed         their wide field of view, has been recently applied in visual
             around linear algebra principles and graphical presentations       servoing [32].
             also for large datasets. Its core functionalities are extended        The second motivation lead to the development of EGT was
             by the use of many additional toolboxes. Combined with             the increasing distribution of “free” software in the latest years,
             interactive MATLAB environment and advanced graphical              on the basis of the Free Software Foundation [10] principles.
             functions, EGT provides a wide set of functions to approach        In this way users are allowed, and also encouraged, to adapt
             computer vision problems especially with multiple views.           and improve the program as dictated by their needs. Examples
                The Epipolar Geometry Toolbox allows to design vision-          of programs that follow these principles include for instance
             based control systems for both pin-hole and central panoramic      the Robotics Toolbox [7], for the creation of simulations
             cameras. EGT is fully compatible with the well known               in robotics, and the Intel’s OpenCV C++ libraries for the
             Robotics Toolbox by Corke [7]. The increasing interest in          implementation of computer vision algorithms, such as image
             robotic visual servoing for both 6DOF kinematic chains and         processing and object recognition [1].
             mobile robots equipped with pin-hole or panoramic cameras             The third important motivation for EGT was the availability
             fixed to the workspace or to the robot, motivated the develop-      and increasing sophistication of MATLAB. EGT could have
             ment of EGT.                                                       been written in other languages, such as C, C++ and this
                Several authors, such as [4], [9], [18], [20], [24], have       would have freed it from dependency on other software.
             proposed new visual servoing strategies based on the geom-         However these low-level languages are not so conducive to
             etry relating multiple views acquired from different camera        rapid program development as MATLAB.
             configurations, i.e. the Epipolar Geometry [14].                       This tutorial assumes the reader has familiarity with MAT-
                In these years we have observed the necessity to develop        LABandpresents the basic EGT functions, after short theory
             a software environment that could help researchers to rapidly      recalls, together with intuitive examples. In this tutorial we
             create a multiple camera setup, use visual data and design         also present two applications of EGT to visual servoing.
             new visual servoing algorithms. With EGT we provide a wide            Section 2 presents the basic vector notation in EGT, while
             set of easy-to-use and completely customizable functions to        in Section 3 the pin-hole and omnidirectional camera models
             design general multi-camera scenarios and manipulate the           together with EGT basic functions are presented. In Section 4
             visual information between them.                                   we present the setup for multiple camera geometry (Epipolar
                                                                                                                                                 x
                                                                                                                        y                          c                    Consider now the more general case in which two camera
                                                                                                                          c                                             frames, referred to as actual and desired, are observing the
                                                                           Xc                                                                           CCD
                                                           θ z                                 X            Xm
                                                                   c                              w                                                                     same point X . From (1)
                                                                                                                                                                                                      w
                                                                                     zw
                                                                                              yw                                                                                                                                             d                   d
                                                                                                                                                                                                                  X = R X +t                                                                            (3)
                                                                                                                                          z                                                                           w                      w d                 w
                                                                tc Rc                                                                       c
                                 O                               w ;    w          O              x                                                                                                                                          a                   a
                                    c           ψ                                    w              w                                              y                                                              X = R X +t                                                                            (4)
                                                                                                                           x                          m                                                               w                      w a                 w
                                  φ                 xc                                  World                                m
                                                                                        frame                                             O
                                                                                                                                             m                          Substituting (4) in (3) it follows
                                  yc                                                       S
                                                                                             w                                                                                                                                                                                    
                                                                                                                                          zm                                                                        d T        a                      d T          a           d
                           Pin-hole  Camera                                                                                                                                                      X =R R X +R                                                    t −t                                    (5)
                                 frame  S                                                                                                                                                             d        | w             w a                    w            w           w
                                                c                                                                Central    Catadioptric Camera                                                                        {z       }                 |              {z                }
                                                                                                                                                                                                                      Ra                                           a
                                                                                                                                                                                                                          d                                      t
                                                                                                                                  frameSm                                                                                                                          d
                            Fig. 1.         Main reference frames notation and vector representation in EGT.                                                            Equation (5) will be very useful in EGT for the analytical
                                                                                                                                                                        computation of epipolar geometry where it is necessary to
                                                                                                                                                                                                                                              a                                          a
                                                                                                                                                                        knowtherelative displacement t and orientation R between
                                                                                                                                                                        the two camera frames.                                                d                                          d
                           Geometry) while in Section 5 two applications of EGT to                                                                                       III. PIN-HOLE AND OMNIDIRECTIONAL CAMERA MODELS
                           visual servoing are presented together with simulation results.
                           In Section 6 we make a comparison between EGT and other                                                                                           EGT provides easy-to-use functions for the placement of
                           software packages. EGT can be freely downloaded at [21],                                                                                     pin-hole and central catadioptric (or omnidirectional) cameras.
                           can be used under Windows and requires MATLAB 6.5 or                                                                                         Their imaging model has been here implemented to allow
                           upper. The detailed manual is provided in the EGT web site,                                                                                  users to manipulate the visual information. In this section
                           with a large set of examples, figures and source code also for                                                                                the fundamentals of perspective and omnidirectional camera
                           beginners.                                                                                                                                   models are quickly reviewed. The reader is referred to [14],
                                                                                                                                                                        [17], [5] for a detailed treatment. According to the purposes
                                                             II. BASIC VECTOR NOTATION                                                                                  of this tutorial, some basic EGT code examples are reported
                                We here present the basic vector notation adopted in                                                                                    together with the theory.
                                                                                                                                                               3
                           Epipolar Geometry Toolbox. All scene points X                                                                           ∈ IR
                                                                                                                                            w                           A. Perspective camera
                           are expressed in the world frame S =< O x y z >
                                                                                                                   w                  w w w w                                Consider                a       pin-hole               camera located at O                                          as       in
                           (Fig.1).            When referred to the pin-hole camera frame                                                                               Fig. 2. The full perspective model describes thecrelation-
                           S =theywill be indicated with X . Moreover
                              c                c c c c                                                                                 c                                ship between a 3D point (in homogeneous coordinates)
                           all scene points expressed w.r.t. a central catadioptric camera                                                                               e              X Y Z 1 T
                                                                                                                                                                        X =                                                           expressed in the world frame and
                           frame S               =willbeindicatedwithX .For                                                                                       w                                                                
                                            m                  m m m m                                                                             m                                                    ˜               u v 1 T
                           the reader convenience we briefly present the basic vector                                                                                    its projection m =                                                            onto the image plane ac-
                           notation and transformation [25]. Refer to Fig. 1 and consider                                                                               cording to
                                                                                                                                                                                                                             e                     e
                                                                                                                                                                                                                            m=KΠX
                           the 3×1vector X ∈ S . It can be expressed in S                                                                 as follows:                                                                                                  w
                                                                 c           c                                                       w
                                                                                             c                  c                                                                                       3×3
                                                                         X =R X +t                                                                         (1)          where K ∈ IR                              is the camera intrinsic parameters matrix
                                                                             w               w c                w                                                       given by:
                                             c                                                                                                                                                                            k f                  γ          u 
                           where t                  is the translational vector centered in S                                                             and                                                                     u                           0
                                             w                                                                                                     w
                                                                                                                                                c                                                            K= 0 kf v :
                           pointing toward the S frame (Fig. 1). The matrix R                                                                        is the                                                                                     v             0
                                                                           c                                                                    w
                           rotation necessary to align the world frame with the camera                                                                                                                                            0             0            1
                           frame. For example we may choose Rc = Rroll;pitch;yaw =
                                                                                                                 w
                           Rz;θRy;φRx;ψ. The homogeneous notation aims to express                                                                                       Image plane
                                                                                                                                                                                            (0,0)   u
                           (1) in linear form:                                                                                                                          coordinates                                                           Optical
                                                                                                                                                                                                             u                                Axis
                                                                                e                  c e                                                                                     v                   0                                                  Xc         X
                                                                               X =H X                                                                                                                                                                                            w
                                                                                    w              w c
                                                                                                                                                                                          v0                                                                                        z
                                           e                       T         T      e                      T        T                                                                                                                                                                 w
                           where X = [X                                  1] , X = [X                            1] . The 4 × 4 matrix                                                                                 m                                                                      y
                                              w                 w                       c               c                                                                                                                                                                                      w
                           Hc is referred to as homogeneous transformation matrix:                                                                                                              f
                                w                                                                                                                                                                                                                                                 Ow x
                                                                                                                                                                                                                                                                                              w
                                                                                                                                                                                     zc                                                                                                  World frame
                                                                                                 c          c                                                                 O                                                                                                            coordinates
                                                                            c               R t                                                                                  c
                                                                       H =                       w          w
                                                                            w                0T            1                                                                               xc                                   I
                                                                                                                                                                                yc
                                                                                                                                                                              Camera-centered                                   (R,t)
                           Analogously,a pointX canbeexpressedinthecameraframe                                                                                                coordinates
                                                                             w
                           by the following transformation                                                                                                              Fig. 2.        The pin-hole camera model. The 3D point X                                           is projected onto m
                                                                                                                                                                                                                                                                     w
                                                                                  c T                  c T c                                                            through the optical center Oc. Note that m is expressed in the image plane
                                                                             R                −R t
                                                           e                      w                    w w ˜                                                            coordinates (u;v) (pixels).
                                                          X =                                                             X                                (2)
                                                               c                0T                      1                      w
                                                                                                                                                                                                                                           3D setup   EGT Tutorial    Ex.1                                                          Image Plane  EGT Tutorial  Ex.1
                                 Here (u ;v ) are the pixels coordinates, in the image frame,                                                                                                                                                                                                             0.3         4
                                                       0        0
                                 of the principal point (i.e. the intersection point between the                                                                                                                                                                                                          0.2                                                                 3
                                                                                                                                                                                                                                                               4    Z
                                                                                                                                                                                                                                                                     wf          3
                                                                                                                                                                                                                                                                                                            1
                                                                                                                                                                                                                                                                                                          0.
                                 image plane and the optical axis z ), k                                                                    and k are the number                                                                                                        Ywf
                                                                                                                           c           u                   v
                                                                                                                                                                                                                   5                                                                                        0
                                                                                                                                                                                                                                                 Z
                                 of pixels per unit distance in image coordinates, f is the focal                                                                                                                                                 c           1
                                                                                                                                                                                                                                                                                 2 Xwf
                                 length (in meters) and γ is the orthogonality factor of the CCD                                                                                                                                                                                                            0.1
                                                                                                                                                                                                                   0                                                                       4
                                                                                                                                                                                                                 Zm                         Xc                                            2
                                 image axes (skew-factor).                                                                                                                                                                                                                                                  0.2                                                               2
                                                                                                                                                                                                                                   Y                                                     0
                                                                                                                                                                                                                                    c
                                                                                                                                                                                                                                                                                       -2   Ym                        1
                                                                                                          3×4                                                                                                                                                                        -                      0.3
                                        Matrix Π = [R|t] ∈ IR                                                          is the so-called external pa-                                                             - 5                                                                  4
                                                                                                                                                                                                                     -12   -10                                                      -6
                                                                                                                                                                                                                                  -8    -6     -                                  -8                        0.4
                                                                                                                                                                                                                                                4    -2      0                                             0.1       0.05        0        0.05      0.1       0.15       0.2      0.25
                                 rameters camera matrix, that contains the rotation R and                                                                                                                                                     Xm                   2     4
                                 the translation t between the world and the camera frames.                                                                                                                                                               (a)                                                                                    (b)
                                 According to the commonly used notation, in the case of                                                                                                                        Fig. 3.            Example 1. (a) A pin-hole camera is positioned in t = [−10;−5;0]
                                 no camera rotation the optical axis zc of pin-hole cameras                                                                                                                     in the 3D world frame and rotated by π=4 around the y-axis. (b) The 3D
                                 is parallel to the y                                     axis of S . We then define:                                                                                            scene points are projected onto the image plane. Note that in this case K = I
                                                                                   w                              w                                                                                             for simplicity.
                                                                                                                                         
                                                                         R = R                                              R                T
                                                                                                          x;−π=2                 rpy
                                                                                                                                               
                                                                                                                                                   T c
                                                                            t        = − Rx;−π=2Rrpy                                                    t
                                                                                                                                                           w                                                    by the use of function f_scenepnt(X)
                                 In order to directly obtain the 4×4 homogeneous matrix Hw
                                 the function f_Rt2H is provided                                                                                                                                   c            >> Xi=[-3, 3, 3, -3];
                                                                                                                                                                                                                >> Yi=[ 3,                                     3, 3, 3];
                                 >> H=f_Rt2H(R,t).                                                                                                                                                              >> Zi=[-3, -3, 3, 3];
                                                                                                                                                                                                                >> Xw=[Xi; Yi; Zi];
                                 Note that with the use of f_Rt2H the position t of a                                                                                                                           >> f_scenepnt(Xw);
                                 pin-hole camera is specified with respect to the world frame                                                                                                                    >> f_3Dwfenum(Xw); %enumerate points
                                 while the rotation R is referred to the pin-hole camera frame                                                                                                                                                                                                                                       T
                                                                                                                                                                                                                The perspective projection m = [u;v]                                                                                          of points X
                                 axes. During the testing phase at the University of Siena this                                                                                                                                                                                                                                                                                   w
                                 choice was appreciated from students of Robotics and Vision                                                                                                                    is obtained with f_perspproj(Xw,H,K):
                                 classes that addressed it as very intuitive.                                                                                                                                   >> [u,v]=f_perspproj(Xw,H,K);
                                        Example 1 (3D scene and pin-hole camera placement):                                                                                                                     >> plot(u,v,’rO’)
                                 Consider                          now                   a            pin-hole                         camera                       rotated                      by             Projection of scene points is represented in Fig. 3(b).
                                                                               3×3                                                                                                        T
                                 R=Ry;π=4 ∈IR                                              and translated by t = [−10;−5;0] :                                                                                                                                                                                                                                                  
                                 >> R=rotoy(pi/4);                                                                                                                                                              Note that while the above example describes the placement of
                                                                                                                                                                                                                3D points X , EGT is also able to build scenes with more
                                 >> t=[-10,-5,0]’;                                                                                                                                                                                                 w
                                 >> H=f_Rt2H(R,t);                                                                                                                                                              complex 3D objects returning surface points and normals (see
                                                                                                                                                                                                                function f_3Dsurface in [21]).
                                 In EGT the camera frame and the associated 3D camera                                                                                                                           B. Omnidirectional Camera Model
                                 can be visualized with functions f_3Dframe(H) and                                                                                                                                    Omnidirectional cameras combine reflective surfaces (mir-
                                 f_3Dcamera(H) respectively, where H is the 4×4                                                                                                                                 rors) and lenses. Several types of panoramic cameras can be
                                 homogeneous                                  transformation                                 describing                          position                     and               obtained simply combining cameras (pin-hole or orthographic)
                                 orientation of the camera with respect to S
                                                                                                                                                      w                                                         and mirrors (hyperbolic, parabolic or elliptical) [5].
                                 >> f_3Dframe(H,1); %camera frame                                                                                                                                                     Panoramic cameras are classified according to the fact that
                                 >> hold on                                                                                                                                                                     they satisfy or not the single viewpoint constraint guaranteeing
                                 >> f_3Dcamera(H); %3D pin-hole camera                                                                                                                                          that the visual sensor only measures the light through a single
                                 >> axis equal, grid on, view(12,34)                                                                                                                                            point. Note that this constraint is required for the existence
                                 >> title(’3D setup - EGT Tutorial - Ex.1’) of epipolar geometry and for the generation of geometrically
                                                                                                                                                                                                                correct images [28] [12].
                                 Plot of 3D view is reported in Fig. 3(a). All the functions                                                                                                                          In [3], Baker et al. derive the entire class of catadioptric
                                 have further options. See the EGT Manual [21] for details.                                                                                                                     systems verifying the single viewpoint constraint. Among
                                                                                                                                                        i                    i          i           i           these EGT takes into account catadioptric systems consisting
                                        Wecanalso place a set of N 3D points X                                                                                =[X ; Y ; Z ]
                                                                                                                                                        w                                                       of pin-hole cameras coupled with hyperbolic mirrors, and
                                 (e.g. the rectangular panel vertexes) defined as                                                                                                                                orthographic cameras coupled with parabolic mirrors.
                                                                             X1 X2 ::: XN                                                                        3×N                                                In [11] a unified projection model for central catadioptric
                                                          X = Y1 Y2 ::: YN ∈IR                                                                                                                                camera systems has been proposed. In particular it was shown
                                                               w
                                                                                     Z1             Z2 :::                         ZN                                                                           that all central panoramic cameras can be modelled by a
                                                                                               X                             In EGT a central catadioptric camera is defined by speci-
                                                            zm                                     Xw
                                Hyperbolic                        y        Xh                                            fying the homogeneous transformation matrix between mirror
                                                                    m
                                  mirror                               x       Xc                                        and world frames
                                                           Om           m                 z
                                                                                           w                                                                                            
                                                                                                y                                                                          m        m
                                                                                                  w                                                         m           R         t
                                                                                                                                                         H =               w        w
                                                                                                     x                                                      w              T
                                                                                                      w                                                                  0         1
                                                                                            Ow
                                                                                                                             Example 2 (Panoramic camera placement): In                                     EGT         a
                                                                                       2e                                panoramic camera can be placed and visualized. Let us place
                                                                                                                         the camera at t=[-5,-5,0]’ with orientation R≡ Rz;π=4.
                                                                                                                         EGT provides a function to simply visualize the panoramic
                                  Pin-hole                          m                                                    camera in the 3D world frame as in Fig. 5.
                                  camera                     zc
                                                                    y            f
                                                                     c                                                   >> H=[rotoz(pi/4) , [-5,-5,0]’;
                                                            Oc          x
                                                                         c                                               >>                        0 0 0 ,                    1           ];
                                                                                                                         >> f_3Dpanoramic(H);
                   Fig. 4.       The panoramic camera model (pin-hole camera and hyperbolic                              Moreover, for assigned camera calibration matrix K:
                   mirror). The 3D point X             is projected at m through the optical center O ,
                                                   w                                                              c
                   after being projected at X           through the mirror center Om.
                                                     h
                                                                                                                         K=[10ˆ3 0                     320;
                                                                                                                                  0 10ˆ3 240;
                   particular mapping on a sphere, followed by a projection from                                                  0           0          1 ];
                   a point on the camera optical axis onto the image plane.                                              the projection of a 3D point Xw=[0,0,4]’ in both
                       In order to keep in EGT a physically meaningful graphi-                                           the camera (m) and mirror (Xh) frames can be obtained from:
                   cal representation we decided, without loosing generality, to
                   represent the central panoramic cameras not as spheres in the                                         >> [m,Xh] = f_panproj(Xw,H,K);
                   space but with the couple of a CCD camera with a parabolic                                            >>
                   or hyperbolic mirror (see for example Fig. 5).                                                        m =
                       In what follows the imaging model for a pin-hole camera                                           4.1048e+002
                   with hyperbolic mirror is described.                                                                  2.4000e+002
                       Consider now the basic scheme in Fig. 4. Note that in this                                        1.0000e+000
                   case all frames (for both the camera and the mirror) are aligned
                   with the world frame. Three important reference frames are                                            Xh =
                   defined: (1) the world reference system centered at O                                    whose
                                                                                                       w                 6.0317e-001
                   vector is X ; (2) the mirror coordinate system centered at the
                                     w                                                                                   3.7881e-017
                                                                                   T
                   focus O         whosevectorisX = [X;Y;Z] ;and(3)thecamera
                                m                                                                                        3.4120e-001
                   coordinate system centered at O whose vector is X .
                                                                      c                                c
                       Henceforth all equations will be expressed in the mirror
                   reference frame if not stated otherwise.                                                                    EGT - Central Catadioptric Imaging of 3D scene points
                       Refer to Fig. 4 and let a and b be the hyperbolic mirror                                             6
                   parameters
                                                            2         2       2                                             4
                                                 (z +e)             x +y                                                                                                              EGT  CCD Panoramic Camera Plane
                                                               −                  =1                                                                                         240.5
                                                        2                 2                                                 2                               X  
                                                      a                 b                                                                                    w
                                                                                                                                         Z                  Z
                                                       √                                                                                  c                  wf
                                                            2       2                                                       0                Y
                   with eccentricity e =                  a +b , the transformation to obtain                             Zm                  c
                                                                                                                                           Xh 
                                                                                                                            -2                 X
                   the projection u in the pin-hole camera frame (see Fig. 4) is                                                                c                     Y                               m 
                                                                                                                                                                       wf     240
                                                                                                                                                              X
                   given by                                                                                                                                    wf             v [pixels]
                                                                                                                            -4
                                                                                                                        -6           Z
                                             1         m          mT                  m            m                                      c
                                m=K R λR (X −t ) +t                                                             (6)                        Y
                                                       c          w          w        w            c                                         c
                                                                                                                                             X
                                            2e                                                                                                c                              239.5
                                                                                                                            -6                                                       410  410.2 410.4 410.6 410.8    411
                                          2                                                                                  -4                                                                   u [pixels]
                   where λ = b (−eZ±a||X||)                       is a nonlinear function of X. K                          Xm -2
                                       2 2       2   2     2   2                                                                 0
                                      b Z −a X −a Y                                                                               2
                                                                                                                                                  -4     -2    0     2
                   is the internal calibration matrix of CCD camera looking at the                                                          -6
                                 m                                                                                                                       Ym
                   mirror. t         is the mirror center expressed in the camera frame                                                           (a)
                                 c                                                                                                                                                                  (b)
                   and corresponds to [0; 0; 2e]. Rm is the matrix representing
                                                                       c
                   the rotation between camera and mirror frames. Analogously                                            Fig. 5.     Example 2. (a) A panoramic camera is positioned in [−5;−5;0]T
                                                                                                                         in the 3D world frame and (b) the 3D point X                   =[0;0;4]T is projected to
                     m              m                                                                                                                                                w
                   t      and R          represent the mirror configuration (rotation and
                     w              w                                                                                    the pinhole camera after being projected in X .
                   orientation) with respect to the world frame.                                                                                                                    h
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...The epipolar geometry toolbox multiple view and visual servoing for matlab gian luca mariottini domenico prattichizzo dipartimento di ingegneria dell informazione universita siena via roma italy email gmariottini dii unisi it abstract theepipolargeometrytoolbox egt wasrealized let us emphasize that can also be successfully em to provide a user with an extensible framework ployed in many other contexts when single creation visualization of multi camera scenarios is involved as example odometry manipulation information between structure from motion applications them functions provided both pin hole panoramic rst work interesting approach vision sensors include placement computation estimation entities robot slam proposed which others compatibility robotics used estimate pairs images allows address general based control issues without requiring knowledge observed scene two tasks are here simulation environment this article introduces tutorial form but easily embedded by examples show its ...

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