Title :
A geometric criterion for shape-based non-rigid correspondence
Author :
Tagare, Hemant D. ; O´Shea, Donna ; Rangarajan, Anand
Author_Institution :
Dept. of Comput. Sci., Yale Univ., New Haven, CT, USA
Abstract :
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
Keywords :
biomedical imaging; computational geometry; curve fitting; medical image processing; angular deviations; concave segments; geometric criterion; geometric invariants; medical images; plane curves; shape based non rigid correspondence; shape based nonrigid correspondence; shape-based non-rigid correspondence; Biomedical imaging; Computed tomography; Computer science; Educational institutions; Image analysis; Image segmentation; Mathematics; Medical diagnostic imaging; Radiology; Shape;
Conference_Titel :
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-8186-7042-8
DOI :
10.1109/ICCV.1995.466907