Dealing with occlusions in the eigenspace approach

A. Leonardis, H. Bischof
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
more » ... pothesize-and-test paradigm using subsets of image points. Competing hypotheses are then subject to a selection procedure based on the Minimum Description Length principle. The approach enables us not only to reject outliers and to deal with occlusions but also to simultaneously use multiple classes of eigenimages.
doi:10.1109/cvpr.1996.517111 dblp:conf/cvpr/LeonardisB96 fatcat:lbgchd5yffce7e52sqs5v5ewke