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MDL Patch Correspondences on Unlabeled Images

By Johan Karlsson and Karl Åström

Abstract

Automatic construction of Shape and Appearance Models from examples via establishing correspondences across the training set has been successful in the last decades. One successful measure for establishing correspondences of high quality is minimum description length (MDL). In other approaches it has been shown that parts+geometry models which model the appearance of parts of the object and the geometric relation between the parts have been successful for automatic model building. In this paper it is shown how to fuse the above approaches and use MDL to fully automatically build optimal parts+geometry models from unlabeled images

Topics: Mathematics
Publisher: IEEE - Institute of Electrical and Electronics Engineers Inc.
Year: 2008
DOI identifier: 10.1109/icpr.2008.4761191
OAI identifier: oai:lup.lub.lu.se:341c0787-7aac-47d9-b8a4-37d2b2eef3d2
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