A comparative study on omni-directional vision sensors satisfying single viewpoint constraint condition

This paper for satisfying the constraint condition of single viewpoint Omni-directional vision design and modeling were compared. Based on single viewpoint constraint conditions, establishing single viewpoint constraint equations of two kinds of sensors chooses the reflector, and establishing the system lens face design of the mathematical model, the sure thing like point and the coordinates of the mapping relationship between points for all dimension image processing provided the necessary model and calculation method, finally, simulation experiments compare the two visual sensor design of the imaging result.

[1]  Caiming Zhang,et al.  A New Method of Fitting Implicit Conic to Plane Scattered Data Points , 2012 .

[2]  J. Tyrrell,et al.  Analytic Geometry , 1965, Nature.

[3]  Richard Szeliski,et al.  Stereo reconstruction from multiperspective panoramas , 2004 .

[4]  Shree K. Nayar,et al.  A Theory of Single-Viewpoint Catadioptric Image Formation , 1999, International Journal of Computer Vision.

[5]  Paul L. Rosin.  A note on the least squares fitting of ellipses , 1993, Pattern Recognit. Lett..

[6]  Harry Shum,et al.  Stereo reconstruction from multiperspective panoramas , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[8]  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).

[9]  Andrew W. Fitzgibbon,et al.  Direct Least Square Fitting of Ellipses , 1999, IEEE Trans. Pattern Anal. Mach. Intell..