Matching Larger Image Areas for Unconstrained Face Identification
نویسندگان
چکیده
منابع مشابه
Stereo Matching for Unconstrained Face Recognition - Ph.D. Proposal
Unconstrained face recognition is a problem of fundamental importance in computer vision. We propose to address this problem by using stereo matching to judge the similarity of two, 2D images of faces. Stereo matching allows for arbitrary, physically valid, continuous correspondences. We show that the stereo matching cost provides a very robust measure of similarity of faces that is insensitive...
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In most situations, identifying humans using faces is an effortless task for humans. Is this true for computers? This very question defines the field of automatic face recognition [10], [38], [79], one of the most active research areas in computer vision, pattern recognition, and image understanding. Over the past decade, the problem of face recognition has attracted substantial attention from ...
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Giovani Chiachia1,2 [email protected] Nicolas Pinto2,3 [email protected] William Robson Schwartz4 [email protected] Anderson Rocha1 [email protected] Alexandre X. Falcão1 [email protected] David Cox2 [email protected] 1 Institute of Computing University of Campinas Campinas, Brazil 2 Rowland Institute Harvard University Cambridge, USA 3 McGovern Institute Massachuset...
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The identification of unfamiliar faces has been studied extensively with matching tasks, in which observers decide if pairs of photographs depict the same person (identity matches) or different people (mismatches). In experimental studies in this field, performance is usually self-paced under the assumption that this will encourage best-possible accuracy. Here, we examined the temporal characte...
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ژورنال
عنوان ژورنال: IEEE Transactions on Cybernetics
سال: 2019
ISSN: 2168-2267,2168-2275
DOI: 10.1109/tcyb.2018.2846579