This paper proposes a method for capturing the performance
of a human or an animal from a multi-view video
sequence. Given an articulated template model and silhouettes
from a m...
Juergen Gall (BIWI, ETH Zurich), Carsten Stoll (Ma...
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...
We describe some techniques that can be used to represent and detect deformable shapes in images. The main difficulty with deformable template models is the very large or infinite...
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
This paper introduces a new method for shape registration by matching vector distance functions. The vector distance function representation is more flexible than the conventional...