Ognjen Arandjelovi c Roberto Cipolla Department of Engineering, University of ...  Home/Search
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Abstract: In this paper we consider face recognition from sets of face images and, in particular, recognition invariance to illumination. The main contribution is an algorithm based on the novel concept of Maximally Probable Mutual Modes (MMPM). Specifically: (i) we discuss and derive a local manifold illumination invariant and (ii) show how the invariant naturally leads to a formulation of "common modes" of two face appearance distributions. Recognition is then performed by finding the most probable... (Update)
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BibTeX entry: (Update)
@misc{ roberto-face,
author = "Ognjen Arandjelovi Roberto",
title = "Face Set Classification using Maximally Probable Mutual Modes",
url = "citeseer.ist.psu.edu/758519.html" }
Citations (may not include all citations):412 Journal of Cognitive Neuroscience (context) - Turk, Pentland et al. - 1991
244 Example-based learning for view-based human face detection - Sung, Poggio - 1998
101 A morphable model for the synthesis of 3D faces - Blanz, Vetter - 1999
88 Face recognition: The problem of compensating for changes in.. - Adini, Moses et al. - 1997
75 What is the set of images of an object under all possible li.. - Belhumeur, Kriegman - 1996
36 Illumination cones for recognition under variable lighting: .. - Georghiades, Kriegman et al. - 1998
17 Face recognition from long-term observations - Shakhnarovich, Fisher et al. - 2002
9 Face recognition using multi-viewpoint patterns for robot vi.. (context) - Fukui, Yamaguchi - 2003
7 Automated person identification in video - Everingham, Zisserman - 2004
7 partially occluded and expression variant faces from a singl.. (context) - Martinez, localized - 2002
5 Automatic face recognition for film character retrieval in f.. (context) - Arandjelovi, Zisserman - 2005
www.toshiba.co.jp/mmlab/tech/w31e.htm
http://www.FaceIt.com/
Documents on the same site (http://mi.eng.cam.ac.uk/reports/index-vision.html): More
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