Abstract
In this chapter, we mainly focus on the discussion of unsupervised face recognition, which corresponds to the matching procedure and the classification-related sub-steps of the enrollment procedure, including same face decision, feature extraction and encoding. If each single step is running passively, the autonomous procedure of recognition is guaranteed. After the introduction section, feature extraction and encoding methods are briefly covered in section 2. The matching algorithms are described in detail in section 3, which includes an image-based classification method, an adaptive way of selecting the thresholds for the classifier, and a video-based temporal filtering method. In section 4, the combined same face decision algorithms are discussed. Finally is the summary of the automatic and intelligent face recognition procedure.
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<http://www.cognitec-systems.de/brochures/FaceVACSalgorithms.pdf>, accessed 12 October 2005
P. J. Phillips, P. Grother, et al.: FRVT 2002 Evaluation Report, Technical Report, March 2003, <http://www.frvt.org>, accessed 29 Mar 2007
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© 2010 Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg
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Mou, D. (2010). Automatic Face Recognition. In: Machine-based Intelligent Face Recognition. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00751-4_4
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DOI: https://doi.org/10.1007/978-3-642-00751-4_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00750-7
Online ISBN: 978-3-642-00751-4