We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Inthispaper,weproposeadescriptorcombination method, which enables to improve significantly the recognition rate compared to the recognition rates obtained by each descriptor. This ...
—In this paper, we propose a novel framework to estimate the parameters of a diffeomorphism that aligns a known shape and its distorted observation. Classical registration method...
We present a learning-based, sliding window-style approach for the problem of detecting humans in still images. Instead of traditional concatenation-style image location-based feat...
In this paper, we propose a new scheme for free-form skeletondriven global mesh deformations. First a Voronoi-based skeletal mesh is extracted from a given original mesh. Next the...
Shin Yoshizawa, Alexander G. Belyaev, Hans-Peter S...