This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
We present a new dense multi-view registration technique for wide-baseline video/images that integrates a parametric optical flowbased approach with a sparse set of feature corres...
Gulcin Caner, A. Murat Tekalp, Gaurav Sharma, Wend...
Wyner-Ziv coding of multiview images avoids communications between source cameras. To achieve good compression performance, the decoder must relate the source and side information...
David M. Chen, David P. Varodayan, Markus Flierl, ...
With the pervasive use of handheld digital devices such as camera phones and PDAs, people have started to capture images as a way of recording information. However, due to the non...