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Automatic Feature Point Correspondences and Shape Analysis with Missing Data and Outliers Using MDL
[chapter]
Image Analysis
Automatic construction of Shape Models from examples has recently been the focus of intense research. These methods have proved to be useful for shape segmentation, tracking, recognition and shape understanding. In this paper we discuss automatic landmark selection and correspondence determination from a discrete set of landmarks, typically obtained by feature extraction. The set of landmarks may include both outliers and missing data. Our framework has a solid theoretical basis using
doi:10.1007/978-3-540-73040-8_3
dblp:conf/scia/AstromKEEK07
fatcat:7i5a6xfshvbhzdxyevdgrkxvwy