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Published in:
2005 | OriginalPaper | Chapter
Nonrigid Shape Correspondence Using Landmark Sliding, Insertion and Deletion
Authors : Theodor Richardson, Song Wang
Published in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005
Publisher: Springer Berlin Heidelberg
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The growing usage of statistical shape analysis in medical imaging calls for effective methods for highly accurate shape correspondence. This paper presents a novel landmark-based method to correspond a set of 2D shape instances in a nonrigid fashion. Different from prior methods, the proposed method combines three important factors in measuring the shape-correspondence error: landmark-correspondence error, shape-representation error, and shape-representation compactness. In this method, these three important factors are explicitly handled by the landmark sliding, insertion, and deletion operations, respectively. The proposed method is tested on several sets of structural shape instances extracted from medical images. We also conduct an empirical study to compare the developed method to the popular Minimum Description Length method.