We present a common variational framework for dense depth recovery and dense three-dimensional motion field estimation from multiple video sequences, which is robust to camera spe...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
Within this paper a new framework for Bayesian tracking is presented, which approximates the posterior distribution at multiple resolutions. We propose a tree-based representation...
Bjoern Stenger, Arasanathan Thayananthan, Philip H...
We present a robust framework for estimating non-rigid 3D shape and motion in video sequences. Given an input video sequence, and a user-specified region to reconstruct, the algori...
Abstract— We present a novel approach to compute collisionfree paths for multiple robots subject to local coordination constraints. More specifically, given a set of robots, the...
Russell Gayle, William Moss, Ming C. Lin, Dinesh M...
We present a framework to adapt software to the needs of individuals with severe motion disabilities who use mouse substitution interfaces. Typically, users are required to adapt t...