Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
We introduce linear methods for model-based tracking of nonrigid 3D objects and for acquiring such models from video. 3D motions and flexions are calculated directly from image in...
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...
— Building an accurate three dimensional map is an important task for autonomous localisation and navigation. In a sequential approach to reconstruction from video streams, we sh...
Recently developed depth-sensing video camera technologies provide precise per-pixel range data in addition to color video. Such cameras will find application in robotics and visi...