We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
This article proposes a local photometric model that compensates for specular highlights and lighting variations due to position and intensity changes. We define clearly on which ...
Fitting of the chin is an essential part of facial model fitting systems. Many previous approaches to chin fitting have used active contour models or snakes. However, achieving su...
In this paper we propose a set of algorithms that combine the anisotropic smoothing using the heat kernel with the outlier rejection capability of robust statistics. The proposed ...