DocumentCode :
3207484
Title :
Towards a general framework for feature extraction
Author :
Moons, Theo ; Pauwels, Eric J. ; Van Gool, Luc ; Osterlinck, A.
Author_Institution :
Katholieke Univ., Leuven, Belgium
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
865
Lastpage :
868
Abstract :
It is shown how object recognition and optical flow can be captured within a single framework. These examples have been selected because they illustrate two complementary problems which can be tackled using the same unified approach based on Lie theory. The object recognition work referred to is based on the extraction of shape invariants and has been reported elsewhere. The present study focuses on using the same framework for the calculation of the optical flow. Besides the introduction of some new methods, it is shown that several well-known schemes can be derived following the same principles
Keywords :
image recognition; Lie theory; feature extraction; object recognition; optical flow; shape invariants; unified approach; Computer vision; Feature extraction; Image analysis; Image motion analysis; Layout; Moon; Object recognition; Optical filters; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223237
Filename :
223237
Link To Document :
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