This paper presents a new shape registration algorithm that establishes "meaningful correspondence" between objects, in that it preserves the local shape correspondence ...
Yun Zhu, Xenophon Papademetris, Albert J. Sinusas,...
A method that combines shape-based object recognition and image segmentation is proposed for shape retrieval from images. Given a shape prior represented in a multiscale curvature...
We present a probabilistic approach to shape matching which is invariant to rotation, translation and scaling. Shapes are represented by unlabeled point sets, so discontinuous bou...
The main purpose of this research is to develop methods for automatic identification of biological specimens in digital photographs and drawings held in a database. Incorporation ...
Y. A. Hicks, A. David Marshall, Ralph R. Martin, P...
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...