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This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor;
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Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include;
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Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include;
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Over the last decades, numerous face recognition methods have been proposed to overcome the problem limited by the current technology;
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Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced;
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Face Recognition: Cognitive and Computational Processes critically discusses current research in face recognition, leading to an original;
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at designing and implementing a prototype face recognition system with respect to ageing. In this project, the ageing impact is taken as the;
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Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art;
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Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem;
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Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial;
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Details multimodal biometrics and its exceptional utility for increasingly reliable human recognition systems. Reveals the substantial;
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This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range;
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In this book, a new high performance face recognition system based on matching the colour pixel statistics is introduced. A pre-processing;
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, biometric fusion, Event-Related Potentials, person-specific characteristic feature selection, image and video-based face, recognition/verification;
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Face recognition has been an active area of research in image processing and computer vision due to its extensive range of prospective;
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Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently;
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The recognition of humans and their activities from video sequences is currently a very active area of research because of its applications;
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Face recognition is one of the most attractive research area in the field of pattern recognition and computer vision due to its interesting;
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prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and;
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3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for;
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Although most people are good at face recognition, we are particularly good at recognizing the faces of individuals who share our race;
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Although most people are good at face recognition, we are particularly good at recognizing the faces of individuals who share our race;
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A TEXTBOOK ON PATTERN RECOGNITION presents both classical and current theoretical foundation of pattern recognition and practice;
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Recognition from Real World Videos in conjunction with the 22nd International Conference on Pattern Recognition held in Stockholm, Sweden, in August;
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. Physiological examples include fingerprints, face recognition, DNA, hand and palm geometry, iris recognition, which has largely replaced retina, and;
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Handbook of Object Novelty Recognition, Volume 26, synthesizes the empirical and theoretical advances in the field of object;
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Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target;
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