We are presenting techniques for simulating the motion and the deformation of cloth, fabrics or, more generally, deformable surfaces. Our main goal is to be able to simulate any k...
Pascal Volino, Martin Courchesne, Nadia Magnenat-T...
Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often manually generated models. However, 3D shapes obtained through acquisition tech...
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
A Bayesian framework for deformable pattern classification has been proposed in [1] with promising results for isolated handwritten character recognition. Its performance, however...
We present an algorithm for finding a meaningful vertexto-vertex correspondence between two 3D shapes given as triangle meshes. Our algorithm operates on embeddings of the two sh...