Face, Expression, and Iris Recognition Using Learning-based Approaches
Computational Recognition of Identitiy and Activity
(Sprache: Englisch)
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...
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Produktinformationen zu „Face, Expression, and Iris Recognition Using Learning-based Approaches “
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.
Autoren-Porträt von Guodong Guo
Guodong Guoreceived his Ph.D. degree in Computer Science from the University of Wisconsin-Madison in 2006. He visited INRIA, Sophia Antipolis, France, Ritsumeikan University, Japan, and NanyangTechnological University, Singapore, and worked at Microsoft Research, China. His research has focused on computer vision, machine learning, and multimedia. Dr. Guo is a Senior Member of the IEEE.
Bibliographische Angaben
- Autor: Guodong Guo
- 2008, 136 Seiten, Maße: 17 x 24 cm, Kartoniert (TB), Englisch
- Verlag: VDM Verlag Dr. Müller
- ISBN-10: 3836457385
- ISBN-13: 9783836457385
Sprache:
Englisch
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