This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
We propose a novel framework for reconstructing homogenous, transparent, refractive height-fields from a single viewpoint. The height-field is imaged against a known planar back...
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
Multiple Description coding has been recently proposed for images and video transmission in packet erasure channels because of its good loss recovery capability. In this paper, we...
We present an algorithm to simultaneously recover nonrigid shape and camera poses from point correspondences between a reference shape and a sequence of input images. The key nove...
Francesc Moreno (Institut de Robotica i Informatic...