In this work we present a novel method to model instance-level constraints within a clustering algorithm. Thereby, both similarity and dissimilarity constraints can be used coeval...
Psychovision have shown that many grouping laws come into play to structure human vision. They use informations of different kinds, not only gray (or color)-level values. Here we ...
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Abstract. In this paper, a novel architecture dedicated to image processing is presented. The most original aspect of the approach is the use of a System On Chip implemented in a F...
An algorithm is presented that automatically generates groundtruthed video from a symbolic description for an object and a specification for the movement of a handheld video camer...