DocumentCode
1679609
Title
A fast MLE-based method for estimating the fundamental matrix
Author
Chojnacki, W. ; Brooks, M. ; van den Hengel, A. ; Gawley, D.
Author_Institution
Dept. of Comput. Sci., Adelaide Univ., SA, Australia
Volume
2
fYear
2001
Firstpage
189
Abstract
We present a novel method for estimating the fundamental matrix, a key problem arising in stereo vision. The method aims to minimise a cost function that is derived from maximum likelihood considerations. The respective minimiser turns out to be significantly more accurate than the familiar algebraic least squares technique. Furthermore, the method is identical in accuracy to a Levenberg-Marquardt minimiser, while proving simpler and faster
Keywords
computer vision; image reconstruction; matrix algebra; maximum likelihood estimation; stereo image processing; visual perception; Levenberg-Marquardt minimiser; algebraic least squares; computer vision; cost function minimisation; covariance-based method; fast MLE-based method; fundamental matrix estimation; images reconstruction; stereo vision; Cameras; Computer science; Computer vision; Cost function; Equations; Least squares methods; Maximum likelihood estimation; Parameter estimation; Stereo vision; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.958456
Filename
958456
Link To Document