General Imaging Geometry for Central Catadioptric Cameras

Catadioptric cameras are a popular type of omnidirectional imaging system. Their imaging and multi-view geometry has been extensively studied; epipolar geometry for instance, is geometrically speaking, well understood. However, the existence of a bilinear matching constraint and an associated fundamental matrix, has so far only been shown for the special case of para-catadioptric cameras (consisting of a paraboloidal mirror and an orthographic camera). The main goal of this work is to obtain such results for all central catadioptric cameras. Our main result is to show the existence of a general 15×15 fundamental matrix. This is based on and completed by a number of other results, e.g. the formulation of general catadioptric projection matrices and plane homographies.

[1]  Patrick Rives,et al.  Single View Point Omnidirectional Camera Calibration from Planar Grids , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[2]  Rajiv Gupta,et al.  Linear Pushbroom Cameras , 1994, ECCV.

[3]  Shree K. Nayar,et al.  A theory of catadioptric image formation , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[4]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[5]  Kostas Daniilidis,et al.  Properties of the Catadioptric Fundamental Matrix , 2002, ECCV.

[6]  Andrew W. Fitzgibbon,et al.  A rational function lens distortion model for general cameras , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[7]  Jean Ponce,et al.  On the absolute quadratic complex and its application to autocalibration , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[8]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision (2nd ed) , 2003 .

[9]  Helder Araújo,et al.  Geometric Properties of Central Catadioptric Line Images , 2002, ECCV.

[10]  Sing Bing Kang,et al.  Catadioptric self-calibration , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[11]  Kostas Daniilidis,et al.  Epipolar Geometry of Central Projection Systems Using Veronese Maps , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[12]  Tomás Pajdla Stereo with Oblique Cameras , 2004, International Journal of Computer Vision.

[13]  P. Sturm Mixing catadioptric and perspective cameras , 2002, Proceedings of the IEEE Workshop on Omnidirectional Vision 2002. Held in conjunction with ECCV'02.

[14]  A. Fitzgibbon,et al.  A Rational Function Model for Fish-Eye lens distortion , 2005 .

[15]  Christopher M. Bishop,et al.  Non-linear Bayesian Image Modelling , 2000, ECCV.

[16]  S. Shankar Sastry,et al.  Two-View Multibody Structure from Motion , 2005, International Journal of Computer Vision.

[17]  Lior Wolf,et al.  Two-body segmentation from two perspective views , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[18]  Tomás Pajdla,et al.  Structure from motion with wide circular field of view cameras , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  Guillermo Gallego,et al.  The Absolute Line Quadric and Camera Autocalibration , 2006, International Journal of Computer Vision.

[20]  Steven M. Seitz,et al.  The Space of All Stereo Images , 2004, International Journal of Computer Vision.

[21]  J. G. Semple,et al.  Algebraic Projective Geometry , 1953 .

[22]  Alfred C. Weaver,et al.  Biometric authentication , 2006, Computer.

[23]  Kostas Daniilidis,et al.  Structure and motion from uncalibrated catadioptric views , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[24]  Tomás Svoboda,et al.  Epipolar Geometry for Central Catadioptric Cameras , 2002, International Journal of Computer Vision.

[25]  Daphna Weinshall,et al.  On the epipolar geometry of the Crossed-Slits projection , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[26]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[27]  Tomás Pajdla,et al.  Constraints on perspective images and circular panoramas , 2004, BMVC.

[28]  João Pedro Barreto,et al.  A unifying geometric representation for central projection systems , 2006, Comput. Vis. Image Underst..

[29]  Hongbin Zha,et al.  Using Sphere Images for Calibrating Fisheye Cameras under the Unified Imaging Model of the Central Catadioptric and Fisheye Cameras , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[30]  Kostas Daniilidis,et al.  A Unifying Theory for Central Panoramic Systems and Practical Applications , 2000, ECCV.