One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
Abstract. This paper addresses the problem of probabilistically modeling 3D human motion for synthesis and tracking. Given the high dimensional nature of human motion, learning an ...
We introduce a straightforward, robust, and efficient algorithm for rendering high-quality soft shadows in dynamic scenes. Each frame, points in the scene visible from the eye ar...
Gregory S. Johnson, Warren A. Hunt, Allen Hux, Wil...
Abstract. In this paper, we address the problem of computing a canonical representation of an n-dimensional combinatorial map. To do so, we define two combinatorial map signatures...
As we develop radiation treatment planning systems for head and neck cancer patients, there is a need to identify reference patients whose anatomical structures share similar feat...
Chia-Chi Teng, Linda G. Shapiro, Ira J. Kalet, Car...