A geometric criterion for shape-based non-rigid correspondence

Massachusetts Institute of Technology, Cambridge, Massachusetts June 20-June 23

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http://doi.ieeecomputersociety.org/10.1109/ICCV.1995.466907

Fifth International Conference on Com ...

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	ASCII Text	x
	H.D. Tagare, D. O'Shea, A. Rangarajan, "A geometric criterion for shape-based non-rigid correspondence," Computer Vision, IEEE International Conference on, pp. 434, Fifth International Conference on Computer Vision (ICCV'95), 1995.

	BibTex	x
	@article{ 10.1109/ICCV.1995.466907, author = {H.D. Tagare and D. O'Shea and A. Rangarajan}, title = {A geometric criterion for shape-based non-rigid correspondence}, journal ={Computer Vision, IEEE International Conference on}, volume = {0}, year = {1995}, isbn = {0-8186-7042-8}, pages = {434}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICCV.1995.466907}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision, IEEE International Conference on TI - A geometric criterion for shape-based non-rigid correspondence SN - 0-8186-7042-8 SP EP A1 - H.D. Tagare, A1 - D. O'Shea, A1 - A. Rangarajan, PY - 1995 KW - computational geometry; curve fitting; medical image processing; biomedical imaging; geometric criterion; shape based nonrigid correspondence; shape-based non-rigid correspondence; shape based non rigid correspondence; plane curves; geometric invariants; angular deviations; concave segments; medical images VL - 0 JA - Computer Vision, IEEE International Conference on ER -

H.D. Tagare, Dept. of Comput. Sci., Yale Univ., New Haven, CT, USA

D. O'Shea, Dept. of Comput. Sci., Yale Univ., New Haven, CT, USA

A. Rangarajan, Dept. of Comput. Sci., Yale Univ., New Haven, CT, USA

A geometric criterion is developed for establishing shape based non rigid correspondence between plane curves. Unlike previous efforts, the criterion does not use rigid invariants of shape. Instead, shapes are compared non rigidly from the vantage point of the correspondence. Geometric invariants are proposed for curves whose shapes can be exactly matched by a non rigid correspondence. The invariants are based on angular deviations of convex and concave segments of the curves. Examples of correspondences between curves obtained from medical images are provided.

Index Terms:

computational geometry; curve fitting; medical image processing; biomedical imaging; geometric criterion; shape based nonrigid correspondence; shape-based non-rigid correspondence; shape based non rigid correspondence; plane curves; geometric invariants; angular deviations; concave segments; medical images

Citation:

H.D. Tagare, D. O'Shea, A. Rangarajan, "A geometric criterion for shape-based non-rigid correspondence," iccv, pp.434, Fifth International Conference on Computer Vision (ICCV'95), 1995

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