Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Vision tasks, such as segmentation, grouping, recognition, can be formulated as graph partition problems. The recent literature witnessed two popular graph cut algorithms: the Ncu...
We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
Visual search connects physical (offline) objects with (online) digital media. Using objects from the environment, like newspapers, magazines, books and posters, we can retrieve s...
Jamey Graham, Jorge Moraleda, Jonathan J. Hull, Ti...
This paper is a report on the 3D Shape Retrieval Constest 2010 (SHREC'10) track on large scale retrieval. This benchmark allows evaluating how wel retrieval algorithms scale ...
Remco C. Veltkamp, Geert-Jan Giezeman, Hannah Bast...