We propose an algorithm that simultaneously extracts
disparities and alpha matting information given a stereo
image pair. Our method divides the reference image into
a set of ov...
Michael Bleyer (Vienna University of Technology), ...
Dense stereo algorithms rely on matching over a range of disparities. To speed up the search and reduce match ambiguity, processing can be embedded in the hierarchical, or coarse-...
Although many image processing applications are ideally suited for parallel implementation, most researchers in imaging do not benefit from high performance computing on a daily b...
We present a surprisingly simple system that allows for robust normal reconstruction by dense photometric stereo, in the presence of severe shadows, highlight, transparencies, com...