Machine-based Intelligent Face Recognition

1st Edition. 2010. Buch. 200 S.: 58 s/w-Abbildungen, 12 Farbabbildungen. Hardcover
Springer ISBN 978-3-642-00750-7
Format (B x L): 15,5 x 23,5 cm
Gewicht: 450 g
In englischer Sprache
Machine-based Intelligent Face Recognition discusses the general engineering method of imitating intelligent human brains for video-based face recognition in a fundamental way, which is completely unsupervised, automatic, self-learning, self-updated and robust. It also overviews state-of-the-art research on cognitive-based biometrics and machine-based biometrics, and especially the advances in face recognition.
This book is intended for scientists, researchers, engineers, and students in the field of computer vision, machine intelligence, and particularly of face recognition.
Dr. Dengpan Mou, Dr.-Ing. and MSc from University of Ulm, Germany, is with Harman/Becker Automotive Systems GmbH, working on video processing, computer vision and machine learning research and development topics.
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Discusses the general engineering methods for imitating intelligent human brains for video-based face recognition that is completely unsupervised, self-adaptive and robust All cues are combined together