We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
We present a method that computes a global potentially visible set for the complete region outside the convex hull of an object. The technique is used to remove invisible parts (t...
Conventional vision systems and algorithms assume the imaging system to have a single viewpoint. However, these imaging systems need not always maintain a single viewpoint. For ins...
Rahul Swaminathan, Michael D. Grossberg, Shree K. ...
Background: Phylogenetic methods which do not rely on multiple sequence alignments are important tools in inferring trees directly from completely sequenced genomes. Here, we exte...
Alexander F. Auch, Stefan R. Henz, Barbara R. Holl...
We present a novel technique to accurately map the complete field-of-coverage of a camera to its pan-tilt space in an efficient manner. This camera model enables mapping the coordi...