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The Correspondence Problem

The integrity of models breaks down if correspondences, annotated in the form of spatial landmarks, are inappropriately identified. Furthermore, the annotation process involves a preliminary segmentation process which highlights parts of the data where landmarks can and should be placed. Although this has become a solved problem in statistical modeling of shape, it is yet difficult to select good landmarks in images which strive to retain full appearances rather than contours or surfaces solely. Several attempts have been made to resolve the issue [7,8,9], but none was optimal or even quite satisfactory. Alignment has become the means by which this crucial limitation can be solved and the foundations of image registration assist in establishing this alignment.

Figure x: Shuffle distance... First mode of appearance model, $\pm2.5$ standard deviations.