In this paper, we present an easy, efficient and practical algorithm, which extracts the feature silhouette from a photograph for virtual human modeling. Our segmentation algorith...
Yu Wang 0010, Charlie C. L. Wang, Matthew Ming-Fai...
We present a new model for the extraction of networks from images in the presence of occlusions. Such occlusions cause gaps in the extracted network that need to be closed. Using ...
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
This paper presents a new 3D reconstruction method of the scoliotic vertebrae of a spine, using two conventional radiographic views (postero-anterior and lateral), and a global pr...
Said Benameur, Max Mignotte, Stefan Parent, Hubert...
A novel deformable model for image segmentation and shape recovery is presented. The model is inspired by fluid dynamics and is based on a flooding simulation similar to the waters...