TY - BOOK T1 - Unconstrained face recognition Y1 - 2006 A1 - Zhou,S. Kevin A1 - Chellapa, Rama A1 - Zhao,Wenyi KW - Computer science KW - Computer vision KW - Computers / Computer Graphics KW - Computers / Computer Science KW - Computers / Computer Vision & Pattern Recognition KW - Computers / General KW - Computers / Image Processing KW - Computers / Information Technology KW - Computers / Information Theory KW - Computers / Interactive & Multimedia KW - Computers / Security / Cryptography KW - Computers / User Interfaces KW - Data encryption (Computer science) KW - Data structures (Computer science) KW - Electronic books KW - Human face recognition (Computer science) KW - IMAGE PROCESSING KW - Image processing - Digital techniques KW - multimedia systems KW - Optical pattern recognition KW - Science / Life Sciences / Biology AB - Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms.Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science. PB - Springer Science & Business SN - 9780387264073 ER -