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Abstract: The objective of this work is to recognize all the frontal faces of a character in the closed world of a movie or situation comedy, given a small number of query faces. This is challenging because faces in a feature-length film are relatively uncontrolled with a wide variability of scale, pose, illumination, and expressions, and also may be partially occluded. We develop a recognition method based on a cascade of processing steps that normalize for the effects of the changing imaging... (Update)
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BibTeX entry: (Update)
@misc{ arandjelovi-automatic,
author = "Films Ognjen Arandjelovi",
title = "Automatic Face Recognition for Film Character Retrieval in Feature-Length",
url = "citeseer.ist.psu.edu/759591.html" }
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