DocumentCode :
2877476
Title :
Motion estimation using the differential epipolar equation
Author :
Baumela, L. ; Agapito, L. ; Bustos, P. ; Reid, I.
Author_Institution :
Dept. Inteligencia Artificial, Univ. Politecnica de Madrid, Spain
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
840
Abstract :
We consider the motion estimation problem in the case of very closely spaced views. We revisit the differential epipolar equation providing an interpretation of it. On the basis of this interpretation we introduce a cost function to estimate the parameters of the differential epipolar equation, which enables us to compute the camera extrinsics and some intrinsics. In the synthetic tests performed we compare this continuous method with traditional discrete motion estimation and, contrary to previous findings by Vieville et al. (1996), show that the continuous method did not perceive any computational advantage
Keywords :
computer vision; differential equations; motion estimation; parameter estimation; computer vision; cost function; differential epipolar equation; extrinsic parameters; intrinsic parameters; motion estimation; parameter estimation; Cameras; Cost function; Differential equations; Image generation; Image motion analysis; Laplace equations; Layout; Motion estimation; Parameter estimation; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903675
Filename :
903675
Link To Document :
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