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
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