A framework is presented for estimating the pose of a camera based on images extracted from a single omnidirectional image of an urban scene, given a 2D map with building outlines...
In this paper we propose a multilinear model of human pose and body shape which is estimated from a database of registered 3D body scans in different poses. The model is generated...
Nils Hasler, Hanno Ackermann, Bodo Rosenhahn, Thor...
3D human motion capture by real-time monocular vision without using markers can be achieved by registering a 3D articulated model on a video. Registration consists in iteratively o...
In this paper, we propose a method to incrementally superresolve 3D facial texture by integrating information frame by frame from a video captured under changing poses and illumin...
Jiangang Yu, Bir Bhanu, Yilei Xu, Amit K. Roy Chow...
Humans have an amazing ability to perceive depth from a single still image; however, it remains a challenging problem for current computer vision systems. In this paper, we will p...