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