We consider a class of region-based energies for image
segmentation and inpainting which combine region integrals
with curvature regularity of the region boundary. To
minimize s...
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
We present a novel variant of the RANSAC algorithm
that is much more efficient, in particular when dealing with
problems with low inlier ratios. Our algorithm assumes
that there...
Scene appearance from the point of view of a light source
is called a reciprocal or dual view. Since there exists a large
diversity in illumination, these virtual views may be no...
In this paper we aim at reconstructing 3D scenes from images
with unknown focal lengths downloaded from photosharing
websites such as Flickr. First we provide a minimal
solution...