A statistical shape model without using landmarks |
Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, Volume 3 - 2004
This paper describes the construction of a statistical shape model based on the iterative closest point algorithm.
The method does not require manual nor automatic identification of explicit landmarks on example shapes. Corresponding features are found by retrieving the nearest points via interpolation along the surface. The application to analyse carpal bone shape renders evidence that the lunate bone occurs in distinct types.
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BibTex references
@InProceedings { VBASMVV04, author = "Vos, F.M. and Bruin, P.W. de and Aubel, J.G.M. and Streekstra, G. J. and Maas, M. and Vliet, L.J. van and Vossepoel, A.M.", title = "A statistical shape model without using landmarks", booktitle = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004", volume = "3", year = "2004", note = "714--717", url = "http://graphics.tudelft.nl/Publications-new/2004/VBASMVV04" }