We describe in this paper a method for 3D shape indexing and retrieval that we apply on three data collections of the SHREC SHape Retrieval Contest 2008: Stability on watertight, ...
Thibault Napoleon, Tomasz Adamek, Francis Schmitt,...
We present a probabilistic approach to shape matching which is invariant to rotation, translation and scaling. Shapes are represented by unlabeled point sets, so discontinuous bou...
Due to the increasing amount of 3D data for various applications there is a growing need for classification and search in such databases. As the representation of 3D objects is no...
In the spatial-integrated socioeconomic model field, a multi-agent approach is appropriate for supporting applications modelled at a detailed territory scale, but it is less used t...
Fenintsoa Andriamasinoro, Daniel Cassard, Bruno Ma...
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...