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Artificial intelligence. Robotics. Simulation. Graphics --- Image processing --- Digital image processing --- Digital electronics --- Digital techniques. --- Traitement d'images --- Digital techniques --- Techniques numériques

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Increased interest in face recognition stems from rising public concern for safety, the need for identity verification in the digital world, and the need for face analysis and modeling techniques in multimedia data management and computer entertainment. This authoritative handbook is the first to provide complete coverage of face recognition, including major established approaches, algorithms, systems, databases, evaluation methods, and applications. After a thorough introductory chapter from the editors, 15 chapters address the sub-areas and major components necessary for designing operational face recognition systems. Each chapter focuses on a specific topic, reviewing background information, reviewing up-to-date techniques, presenting results, and offering challenges and future directions. Features & Benefits: *Provides comprehensive coverage of the main concepts, including face detection, tracking, alignment, feature extraction, and recognition *Presents state-of-the-art methods and algorithms for designing face image-processing and recognition systems *Examines design of secure, accurate, and reliable face recognition systems *Describes performance evaluation methods and major applications, such as security, person verification, Internet communication, and computer entertainment *Integrates numerous supporting graphs, tables, charts, and performance data This accessible, practical reference is an essential resource for scientists and engineers, practitioners, government officials, and students planning to work in image processing, computer vision, biometrics and security, Internet communications, computer graphics, animation, and the computer game industry. Stan Z. Li leads research programs in face detection and recognition, biometrics, and surveillance at Microsoft and is a senior member of the IEEE. Anil K. Jain is university-distinguished professor in the department of computer science and engineering at Michigan State University, as well as a fellow of the ACM, IEEE, and IAPR. Key Topics: Face detection, tracking, and alignment Performance evaluation Subspace analysis methods Illumination and pose modeling Morphable models of faces Facial skin-color modeling Face expression analysis and synthesis Psychological and neural perspectives -- Security / Pattern Recognition -- Intermediate / Advanced.

Human face recognition (Computer science) --- Optical pattern recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Face recognition, Human (Computer science) --- Facial pattern recognition (Computer science) --- Optical pattern recognition --- Computer vision. --- Artificial intelligence. --- Pattern Recognition. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Image Processing and Computer Vision. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Pattern recognition. --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical equipment

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This encyclopedia provides a comprehensive reference to topics in biometrics including concepts, modalities, algorithms, devices, systems, security, performance testing, applications and standardization. With an A–Z format and over 1400 entries, it provides easy access to relevant information on all aspects of biometrics for those seeking entry into this broad field. Entries are written by experts in biometrics and related fields. Each entry includes a definition, key words, list of synonyms, list of related entries, illustration(s), applications and a bibliography. Most entries include useful literature references providing the reader with a portal to more detailed information. Comprehensive and tutorial, the Encyclopedia of Biometrics, 2nd Edition is a practical resource for experts in the field and professionals interested in aspects of biometrics.

Computer Science. --- Biometrics. --- Signal, Image and Speech Processing. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Systems and Data Security. --- Computer science. --- Data protection. --- Computer vision. --- Informatique --- Protection de l'information (Informatique) --- Vision par ordinateur --- Biology - General --- Biology --- Health & Biological Sciences --- Computer security. --- Computer graphics. --- Biometrics (Biology). --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Informatics --- Science --- Statistical methods --- Digital techniques --- Protection --- Security measures --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Biometric identification. --- Biometric identification --- Biometric person authentication --- Biometrics (Identification) --- Anthropometry --- Identification --- Signal processing. --- Image processing. --- Speech processing systems. --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical equipment

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Biometrics refers to automated methods of recognizing a person based on physiological or behavioral characteristics. The Encyclopedia of Biometrics provides a comprehensive reference to topics in Biometrics, including concepts, modalities, algorithms, devices, systems, security, performance testing, applications and standardization. With an A–Z format, the Encyclopedia of Biometrics provides easy access to relevant information on all aspects of biometrics for those seeking entry into this broad field. The Encyclopedia is composed of approximately 250 overview entries, and 800 definitional entries. Each entry includes a definition, key words, list of synonyms, list of related entries, illustration(s), applications, and a bibliography. Most entries include useful literature references providing the reader with a portal to more detailed information. The style of the entries is expository and tutorial, making the encyclopedia a practical resource for experts in the field and professionals in other fields.

Biometry --- Statistics as Topic --- Epidemiologic Measurements --- Epidemiologic Methods --- Public Health --- Investigative Techniques --- Environment and Public Health --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Health Care --- Biology - General --- Biology --- Health & Biological Sciences --- Biomathematics --- Molecular biology --- Molecular biochemistry --- Molecular biophysics --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Statistical methods --- Computer science. --- Computer security. --- Data encryption (Computer science). --- Computer graphics. --- Pattern recognition. --- Biometrics (Biology). --- Computer Science. --- Biometrics. --- Systems and Data Security. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Pattern Recognition. --- Data Encryption. --- Mathematics --- Statistics --- Biochemistry --- Biophysics --- Biomolecules --- Systems biology --- Computer vision. --- Optical pattern recognition. --- Cryptology. --- Data encoding (Computer science) --- Encryption of data (Computer science) --- Computer security --- Cryptography --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Protection --- Security measures --- Optical data processing. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Optical equipment --- Biometrics

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Biometric identification --- Reconnaissance des formes (Informatique) --- Identification biométrique --- Vision par ordinateur --- Automatisation --- -Pattern recognition systems --- Biometric person authentication --- Biometrics (Identification) --- Anthropometry --- Forensic identification --- Machine vision --- Vision, Computer --- Identification biométrique --- Biomathematics. Biometry. Biostatistics --- Artificial intelligence. Robotics. Simulation. Graphics --- Pattern recognition systems --- Identification --- Computer vision --- Automation --- EPUB-LIV-FT SPRINGER-B --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Artificial intelligence --- Image processing --- Identification - Automation