This paper addresses the problem of reconstructing the geometry and color of a Lambertian scene, given some fully calibrated images acquired with wide baselines. In order to compl...
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Abstract. Given the projection of a su cient numberof points it is possible to algebraically eliminate the camera parameters and obtain viewinvariant functions of image coordinates...
Abstract. We show that we can e ectively t arbitrarily complex animation models to noisy image data. Our approach is based on leastsquares adjustment using of a set of progressivel...
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...