DiegoVelasquez-FaceRecognitionLiteratureSurvey - Face...

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Unformatted text preview: Face Recognition: A Literature Survey W. ZHAO Sarnoff Corporation R. CHELLAPPA University of Maryland P. J. PHILLIPS National Institute of Standards and Technology AND A. ROSENFELD University of Maryland As one of the most successful applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past several years. At least two reasons account for this trend: the first is the wide range of commercial and law enforcement applications, and the second is the availability of feasible technologies after 30 years of research. Even though current machine recognition systems have reached a certain level of maturity, their success is limited by the conditions imposed by many real applications. For example, recognition of face images acquired in an outdoor environment with changes in illumination and/or pose remains a largely unsolved problem. In other words, current systems are still far away from the capability of the human perception system. This paper provides an up-to-date critical survey of still- and video-based face recognition research. There are two underlying motivations for us to write this survey paper: the first is to provide an up-to-date review of the existing literature, and the second is to offer some insights into the studies of machine recognition of faces. To provide a comprehensive survey, we not only categorize existing recognition techniques but also present detailed descriptions of representative methods within each category. In addition, relevant topics such as psychophysical studies, system evaluation, and issues of illumination and pose variation are covered. Categories and Subject Descriptors: I.5.4 [ Pattern Recognition ]: Applications General Terms: Algorithms Additional Key Words and Phrases: Face recognition, person identification An earlier version of this paper appeared as “Face Recognition: A Literature Survey,” Technical Report CAR- TR-948, Center for Automation Research, University of Maryland, College Park, MD, 2000. Authors’ addresses: W. Zhao, Vision Technologies Lab, Sarnoff Corporation, Princeton, NJ 08543-5300; email: [email protected]; R. Chellappa and A. Rosenfeld, Center for Automation Research, University of Maryland, College Park, MD 20742-3275; email: { rama,ar } @cfar.umd.edu; P. J. Phillips, National Institute of Standards and Technology, Gaithersburg, MD 20899; email: [email protected] Permission to make digital/hard copy of part or all of this work for personal or classroom use is granted with- out fee provided that the copies are not made or distributed for profit or commercial advantage, the copyright notice, the title of the publication, and its date appear, and notice is given that copying is by permission of ACM, Inc. To copy otherwise, to republish, to post on servers, or to redistribute to lists requires prior specific permission and/or a fee....
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DiegoVelasquez-FaceRecognitionLiteratureSurvey - Face...

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