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
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958456
