Face, Expression, and Iris Recognition Using Learning-based Approaches - Guo, Guodong
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Revision with unchanged content. This book investigates the problem of facial image analysis. Human faces contain a lot of information that is useful for many applications. For instance, the face and iris are important biometric features for security applications. Facial activity analysis such as face expression recognition is helpful for perceptual user interfaces. Developing new methods to improve recognition performance, in terms of face, iris, and facial expression, is a major concern in the presentation.

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Produktbeschreibung
Revision with unchanged content. This book investigates the problem of facial image analysis. Human faces contain a lot of information that is useful for many applications. For instance, the face and iris are important biometric features for security applications. Facial activity analysis such as face expression recognition is helpful for perceptual user interfaces. Developing new methods to improve recognition performance, in terms of face, iris, and facial expression, is a major concern in the presentation.
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Autorenporträt
received his Ph.D. degree in Computer Sciencefrom the University of Wisconsin-Madison in 2006.He visited INRIA, Sophia Antipolis, France,Ritsumeikan University, Japan, and NanyangTechnological University, Singapore, and workedat Microsoft Research, China. His research hasfocused on computer vision, machine learning,and multimedia. Dr. Guo is a Senior Member ofthe IEEE.