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A Method of 3D Surface Correspondence for Automated Landmark Generation

A. D. Brett, A. Hill and C. J. Taylor
Department of Medical Biophysics
University of Manchester
adb@sv1.smb.man.ac.uk

Abstract:

A method for corresponding the triangulated mesh surface representations of two shapes is presented. The algorithm produces a matching pair of sparse polyhedral approximations, one for each shape surface, using a global Euclidean measure of similarity. A method of surface patch parameterisation is presented and its use in the interpolation of surfaces for the construction of a merged mean shape with a densely triangulated surface is described. Results are presented for the production of a binary tree of merged biological shapes which may be used as a basis for automated landmarking.





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Alan Brett
Wed Jul 9 16:24:02 BST 1997