We present an interactive algorithm for continuous collision detection between deformable models. We introduce two techniques to improve the culling efficiency and reduce the numb...
Min Tang, Sean Curtis, Sung-Eui Yoon, Dinesh Manoc...
In this paper we present an interactive collision detection algorithm for complex and deformable objects. For two target models, our approach rapidly calculates their region of in...
Deformable models in the \physically-based" paradigm are almost always formulated in an ad-hoc fashion, not related to physical reality { they apply the equations on physics i...
Terrance E. Boult, Samuel D. Fenster, Thomas O'Don...
We construct a Bayesian model that integrates topdown with bottom-up criteria, capitalizing on their relative merits to obtain figure-ground segmentation that is shape-specific an...
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...