With the explosion of the size of digital dataset, the limiting factor for decomposition algorithms is the number of passes over the input, as the input is often stored out-of-cor...
In this paper, we propose a new and accurate 3D reconstruction technique for the scoliotic spine from a pair planar and conventional radiographic images (postero-anterior and late...
Said Benameur, Max Mignotte, Stefan Parent, Hubert...
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
There are more and more applications of nonphotorealistic rendered images, sketches and drawings. Several techniques for generating such imagery are widely known. The stochastic p...
This paper presents an e cient shape-based object detection method based on Distance Transforms and describes its use for real-time vision on-board vehicles. The method uses a tem...