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
Link To Document :
بازگشت