In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Abstract. The deformation of applicable surfaces such as sheets of paper satisfies the differential geometric constraints of isometry (lengths and areas are conserved) and vanishin...
Nail A. Gumerov, Ali Zandifar, Ramani Duraiswami, ...
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
This paper considers projective reconstruction with a hierarchical computational structure of trifocal tensors that integrates feature tracking and geometrical validation of the f...
In this paper we propose a fast motion estimation technique that works in the wavelet domain. The computational cost of the algorithm turns out to be proportional to the linear si...
Davide Maestroni, Augusto Sarti, Marco Tagliasacch...