Design of Vertically Aligned Binocular Omnistereo Vision Sensor

Catadioptric omnidirectional vision sensor (ODVS) with a fixed single view point is a fast and reliable single panoramic visual information acquisition equipment. This paper presents a new type of binocular stereo ODVS which composes of two ODVS with the same parameters. The single view point of each ODVS is fixed on the same axis with face-to-face, back-to-back, and faceto- back configuration; the single view point design is implemented by catadioptric technology such as the hyperboloid, constant angular resolution, and constant vertical resolution. The catadioptric mirror design uses the method of increasing the resolution of the view field and the scope of the image in the vertical direction. The binocular stereo ODVS arranged in vertical is designed spherical, cylindrical surfaces and rectangular plane coordinate system for 3D calculations. Using the collinearity of two view points, the binocular stereo ODVS is able to easily align the azimuth, while the camera calibration, feature points match, and other cumbersome steps have been simplified. The experiment results show that the proposed design of binocular stereo ODVS can solve the epipolar constraint problems effectively, match three-dimensional image feature points rapidly, and reduce the complexity of three-dimensional measurement considerably.

[1]  Jonathan M. Garibaldi,et al.  Real-Time Correlation-Based Stereo Vision with Reduced Border Errors , 2002, International Journal of Computer Vision.

[2]  Yasushi Yagi,et al.  Obstacle detection with omnidirectional image sensor HyperOmni Vision , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[3]  Zhigang Zhu.  Omnidirectional Stereo Vision , 2001 .

[4]  John B. Moore,et al.  Resolution invariant surfaces for panoramic vision systems , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[5]  Fabio M. Marchese,et al.  Omni-Directional Vision with a Multi-part Mirror , 2000, RoboCup.

[6]  José Santos-Victor,et al.  Vision-based navigation and environmental representations with an omnidirectional camera , 2000, IEEE Trans. Robotics Autom..

[7]  R. Orghidan.  Catadioptric stereo based on structured light projection , 2006 .

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

[9]  P. Sturm.  A method for 3D reconstruction of piecewise planar objects from single panoramic images , 2000, Proceedings IEEE Workshop on Omnidirectional Vision (Cat. No.PR00704).

[10]  Branislav Micus ´ ik.  Estimation of omnidirectional camera model from epipolar geometry , 2003 .

[11]  Roland Siegwart,et al.  A Toolbox for Easily Calibrating Omnidirectional Cameras , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[12]  Gu Xiao-kai.  Research on Intelligent Omni-Directional Vision Sensors and Their Applications , 2007 .

[13]  Gyung-bum Kim,et al.  An accurate and robust stereo matching algorithm with variable windows for 3D measurements , 2004 .

[14]  Zhu Yihua,et al.  Design of Omni-Directional Vision Sensors without dead angle , 2008, 2008 3rd International Conference on Sensing Technology.

[15]  Shree K. Nayar,et al.  Real-Time Omnidirectional and Panoramic Stereo , 1998 .

[16]  Tomáš Svoboda,et al.  Reliable 3D reconstruction from a few catadioptric images , 2002, Proceedings of the IEEE Workshop on Omnidirectional Vision 2002. Held in conjunction with ECCV'02.

[17]  Tom,et al.  Epipolar Geometry for Panoramic Cameras Epipolar Geometry for Panoramic Cameras ? , 1998 .

[18]  Ruzena Bajcsy,et al.  Catadioptric sensors that approximate wide-angle perspective projections , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[19]  John D Schulz.  EXTRA SET OF EYES , 2002 .

[20]  Aaron Huff.  An extra set of eyes , 2011 .

[21]  Tomas Pajdla,et al.  Autocalibration & 3D reconstruction with non-central catadioptric cameras , 2004, CVPR 2004.

[22]  Shree K. Nayar,et al.  Catadioptric omnidirectional camera , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[23]  José Santos-Victor,et al.  OMNIVIEWS Mirror Design and Software Tools , 2001 .

[24]  YiPing Tang.  Design of Stereo Omni-Directional Vision Sensors with Full Sphere View and without Dead Angle , 2010 .

[25]  Yan Ke,et al.  PCA-SIFT: a more distinctive representation for local image descriptors , 2004, CVPR 2004.

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

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

[28]  M. Srinivasan,et al.  Reflective surfaces for panoramic imaging. , 1997, Applied optics.

[29]  In So Kweon,et al.  Single Camera Catadioptric Stereo System , 2005, ICCV 2005.

[30]  Shree K. Nayar,et al.  Single viewpoint catadioptric cameras , 2001 .

[31]  Tomás Pajdla,et al.  Autocalibration & 3D reconstruction with non-central catadioptric cameras , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[32]  J. Okamoto,et al.  Constant resolution omnidirectional cameras , 2002, Proceedings of the IEEE Workshop on Omnidirectional Vision 2002. Held in conjunction with ECCV'02.