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- W1555017801 abstract "The problem of matching shapes parameterized as a set of points is frequently encountered in medical imaging tasks. When the point-sets are derived from landmarks, there is usually no problem of determining the correspondences or homologies between the two sets of landmarks. However, when the point sets are automatically derived from images, the difficult problem of establishing correspondence and rejecting non-homologies as outliers remains. The Procrustes method is a well-known method of shape comparison and can always be pressed into service when homologies between point-sets are known in advance. This paper presents a powerful extension of the Procrustes method to pointsets of differing point counts with correspondences unknown. The result is the softassign Procrustes matching algorithm which iteratively establishes correspondence, rejects non-homologies as outliers, determines the Procrustes rescaling and the spatial mapping between the point-sets." @default.
- W1555017801 created "2016-06-24" @default.
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- W1555017801 date "1997-01-01" @default.
- W1555017801 modified "2023-10-12" @default.
- W1555017801 title "The softassign Procrustes matching algorithm" @default.
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- W1555017801 doi "https://doi.org/10.1007/3-540-63046-5_3" @default.
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