AN ONLINE ALGORITHM FOR CONSTRAINED FACE CLUSTERING IN VIDEOS

We address the problem of face clustering in long, real world videos.This is a challenging task because faces in such videos exhibit wid evariability in scale, pose, illumination, expressions, and may also be partially occluded. The majority of the existing face clustering algorithms are offline, i.e., they assume the availability of the entire data at once... (read more)

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