DocumentCode
2179041
Title
Recovery of epipolar geometry as a manifold fitting problem
Author
Goshen, Liran ; Shimshoni, Ilan ; Anandan, P. ; Keren, Daniel
Author_Institution
Fac. of Ind. Eng., Technion, Haifa, Israel
fYear
2003
fDate
13-16 Oct. 2003
Firstpage
1321
Abstract
The introduction of the joint image manifold allows to treat the problem of recovering camera motion and epipolar geometry as the problem of fitting a manifold to the data measured in a stereo pair. The manifold has a singularity and boundary, therefore care must be taken when fitting it. This paper reviews the notion of joint image manifold, and how previous motion recovery methods can be viewed in its context, and then offers a new fitting method, which improves upon previous results, especially when the extent of the data and/or the motion are small.
Keywords
cameras; computational geometry; computer vision; image matching; maximum likelihood estimation; motion compensation; stereo image processing; 3D structure; algebraic method; camera motion recovery; computer vision; epipolar geometry; geometric method; joint image fitting; manifold fitting problem; maximum likelihood method; motion recovery methods; singularity; stereo pair; Cameras; Computational geometry; Computer science; Computer vision; Fitting; Industrial engineering; Manifolds; Motion measurement; Polynomials; Stereo vision;
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.2003.1238643
Filename
1238643
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