We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Modeling dynamic scenes is a challenging problem faced by applications such as digital content generation and motion analysis. Fast single-frame methods obtain sparse depth sample...
Real-time rendering of massively textured 3D scenes usually involves two major problems: Large numbers of texture switches are a well-known performance bottleneck and the set of s...
The goal of this paper is to give a short historical overview of multiple view vision and in particular the estimation of both camera geometry and scene models using only images a...
The mainstream approach to estimate epipolar geometry from two views requires matching the projections of at least 4 non-coplanar points in the scene, assuming a full projective c...