This is the first book on automatic face recognition. Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries, and human-computer intelligent interactions. The book is based on a NATO Advanced Study Institute held in 1997 at which leading researchers provided a broad overview on face recognition and identified trends for future developments and the means for implementing robust systems. The methods presented are synergetic efforts from the fields signal and image processing, pattern recognition, machine learning, neural networks, psychophysics, and system engineering. The emphasis is on tested methods such as principal component analysis, dynamic link architecture, support vector machines, and video processing.
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Inside This Book
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First Sentence:
Abstract. A number of behavioral phenomena distinguish the recognition of faces and objects, even when members of the set of objects are highly similar. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
optimal projection axes, foveation points, genetically identical irises, labelled feature points, eigenface matching, mean percent correct identification, virtual eigensignatures, saliency representation, speechreading accuracy, jet transformation, bilateral symmetry axis, conditional ensemble, deformable intensity surfaces, pose tuning, standard eigenfaces, local shape variations, angular distance measure, duplicate probes, saccadic search, human face perception, using polynomial kernels, facial landmarks, speechreading performance, conditional mixture, inductive decision tree Key Phrases - Capitalized Phrases (CAPs): (learn more)
Journal of Experimental Psychology, New York, False Accept, Journal of Cognitive Neuroscience, Neural Computation, Computer Society Press, Hamming Distance, Springer Verlag, Morgan Kaufmann, Visual Cognition, Army Research Laboratory, International Workshop, Statistical Learning Theory, British Journal of Psychology, Academic Press, Department of Psychology, George Mason University, Investigative Ophthalmology, Psychological Review, Puerto Rico, Visual Science, Artificial Intelligence Laboratory, British Telecom, Computer Society Conference, Margherita Ligure New!
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Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Abstract. A number of behavioral phenomena distinguish the recognition of faces and objects, even when members of the set of objects are highly similar. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
optimal projection axes, foveation points, genetically identical irises, labelled feature points, eigenface matching, mean percent correct identification, virtual eigensignatures, saliency representation, speechreading accuracy, jet transformation, bilateral symmetry axis, conditional ensemble, deformable intensity surfaces, pose tuning, standard eigenfaces, local shape variations, angular distance measure, duplicate probes, saccadic search, human face perception, using polynomial kernels, facial landmarks, speechreading performance, conditional mixture, inductive decision tree Key Phrases - Capitalized Phrases (CAPs): (learn more)
Journal of Experimental Psychology, New York, False Accept, Journal of Cognitive Neuroscience, Neural Computation, Computer Society Press, Hamming Distance, Springer Verlag, Morgan Kaufmann, Visual Cognition, Army Research Laboratory, International Workshop, Statistical Learning Theory, British Journal of Psychology, Academic Press, Department of Psychology, George Mason University, Investigative Ophthalmology, Psychological Review, Puerto Rico, Visual Science, Artificial Intelligence Laboratory, British Telecom, Computer Society Conference, Margherita Ligure New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 92
books:
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39
books
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- Face Recognition (Special Issues of the European Journal of Cognitive Psychology) by Vicki Bruce on 8 pages
- Statistical Learning Theory by Vladimir N. Vapnik on 6 pages
- Learning from Data: Concepts, Theory, and Methods by Vladimir Cherkassky on 4 pages
- Neural Networks (Quantitative Applications in the Social Sciences) by Hervé Abdi on 4 pages
- The Nature of Statistical Learning Theory (Information Science and Statistics) by Vladimir Vapnik on 4 pages
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- Handbook of Face Recognition by Stan Z. Li on 4 pages
- Face Detection and Gesture Recognition for Human-Computer Interaction (The International Series in Video Computing) by Ming-Hsuan Yang on 4 pages
- Biometric Systems: Technology, Design and Performance Evaluation by James L. Wayman on page 113, and page 238
- Advances in Biometric Person Authentication: 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, ... (Lecture Notes in Computer Science) by Stan Z. Li on page 195, and page 304
- Pattern Recognition and Image Analysis: Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, ... Pattern Recognition, and Graphics) (Pt. 2) by Sameer Singh on page 111, and page 205
See all 39 books citing this book
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