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Dealing with occlusions in the eigenspace approach
1996
Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition
The basic limitations of the current appearance-based matching methods using eigenimages are non-robust estimation of coe cients and inability to cope with problems related to occlusions and segmentation. In this paper we present a new approach which successfully solves these problems. The major novelty of our approach lies in the way how the coe cients of the eigenimages are determined. Instead of computing the coe cients by a projection of the data onto the eigenimages, we extract them by a
doi:10.1109/cvpr.1996.517111
dblp:conf/cvpr/LeonardisB96
fatcat:lbgchd5yffce7e52sqs5v5ewke