DocumentCode :
2174862
Title :
Mirrors in motion: epipolar geometry and motion estimation
Author :
Geyer, Christopher ; Daniilidis, Kostas
Author_Institution :
California Univ., Berkeley, CA, USA
fYear :
2003
fDate :
13-16 Oct. 2003
Firstpage :
766
Abstract :
In this paper we consider the images taken from pairs of parabolic catadioptric cameras separated by discrete motions. Despite the nonlinearity of the projection model, the epipolar geometry arising from such a system, like the perspective case, can be encoded in a bilinear form, the catadioptric fundamental matrix. We show that all such matrices have equal Lorentzian singular values, and they define a nine-dimensional manifold in the space of 4 × 4 matrices. Furthermore, this manifold can be identified with a quotient of two Lie groups. We present a method to estimate a matrix in this space, so as to obtain an estimate of the motion. We show that the estimation procedures are robust to modest deviations from the ideal assumptions.
Keywords :
Lie groups; cameras; computational geometry; encoding; matrix algebra; motion estimation; 9D manifold; Lie groups; Lorentzian singular values; bilinear coding; catadioptric fundamental matrix; discrete motions; epipolar geometry; matrix estimation; mirror motion; motion estimation; nonlinearity; parabolic catadioptric cameras; projection model; Cameras; Geometry; Mirrors; Motion estimation; Navigation; Robot sensing systems; Robot vision systems; Robustness; Solid modeling; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on
Conference_Location :
Nice, France
Print_ISBN :
0-7695-1950-4
Type :
conf
DOI :
10.1109/ICCV.2003.1238426
Filename :
1238426
Link To Document :
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