Rom Hershkovitz

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An efficient method for precise computation of image-aware geodesic distances for image editing algorithms is proposed. It exploits the connection between image representation as a mapping from a Cartesian grid and as a collection of its level sets, organized into a tree structure. The distance computation is reformulated in the domain of the image level(More)
The introduction of consumer RGB-D scanners set off a major boost in 3D computer vision research. Yet, the precision of existing depth scanners is not accurate enough to recover fine details of a scanned object. While modern shading based depth refinement methods have been proven to work well with Lambertian objects, they break down in the presence of(More)
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