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M. Gong and Y. H. Yang
ABSTRACT
Many computer vision problems can be formulated into optimization problems. In this paper, we propose a multiresolution genetic algorithm, which can be applied to solving many of these problems. The motion estimation problem is used as a vehicle for demonstration. A matching-based estimator is proposed through setting up a proper fitness evaluation function and letting the multiresolution genetic algorithm do the global searching. The results show that the proposed estimator is robust and can produce consistent velocities for real image sequences. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
Multi-resolution genetic algorithm and its application in motion estimationSite generated on Friday, 06 January 2006