Title :
On a study of invariant features in nonrigid transformations
Author :
Kambhamettu, Chandra ; Goldgof, Dmitry B. ; He, Matthew
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
Abstract :
Invariant features are of prime importance in computer vision. These features are any properties of the surface that are not changed during a transformation, and which can be used for object recognition or motion analysis. Two categories of invariancies can be identified: invariance with respect to the rigid motion, and invariance with respect to the nonrigid motion. The authors concentrate on the differential geometric properties that can be used to detect the nonrigid motion of a given surface. Analysis of invariant features of a surface that can be used in recognition of nonrigid motion has been addressed. A novel method for estimating point correspondences between surfaces undergoing a small deformation is presented
Keywords :
computational geometry; computer vision; image recognition; motion estimation; computer vision; geometric properties; invariant features; motion analysis; nonrigid transformations; object recognition; point correspondences; small deformation; Computer science; Focusing; Mathematics; Medical diagnosis; Motion analysis; Motion detection; Object recognition; Shape; Telecommunications; Tracking;
Conference_Titel :
Qualitative Vision, 1993., Proceedings of IEEE Workshop on
Conference_Location :
New York City, NY
Print_ISBN :
0-8186-3692-0
DOI :
10.1109/WQV.1993.262943
