Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
Optical Flow estimation in noisy image sequences requires a special denoising strategy. Towards this end we introduce a new tensor-driven anisotropic diffusion scheme which is des...
Abstract. We describe a novel approach to view interpolation from image sequences based on probabilistic depth carving. This builds a multivalued representation of depth for novel ...
It is well known that the base composition along eukaryotic genomes is long-range correlated. Here, we investigate the effect of such long-range correlations on alignment score sta...
Philipp W. Messer, Ralf Bundschuh, Martin Vingron,...
Progressive sequence model refinement by means of iterative searches is an effective technique for high sensitivity database searches and is currently employed in popular tools s...