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Sách Handbook of Face Recognition The Deep Neural Network Approach, 3rd Edition

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Sách Handbook of Face Recognition The Deep Neural Network Approach, 3rd Edition

Sách keo gáy, bìa mềm
 
The history of computer-aided face recognition dates
to the 1960s, yet the problem of automatic face recognition – a task
that humans perform routinely and effortlessly in our daily lives –
still poses great challenges, especially in unconstrained conditions.
This highly anticipated new edition provides a comprehensive account of
face recognition research and technology, spanning the full range of
topics needed for designing operational recognition systems. After a
thorough introduction, each subsequent chapter focuses on a specific
topic, reviewing background information, up-to-date techniques, and
recent results, as well as offering challenges and future directions.
Topics and features: Fully updated, revised, and expanded, covering the
entire spectrum of concepts, methods, and algorithms for automated
detection and recognition systems Provides comprehensive coverage of
face detection, alignment, feature extraction, and recognition
technologies, and issues in evaluation, systems, security, and
applications Contains numerous step-by-step algorithms Describes a broad
range of applications from person verification, surveillance, and
security, to entertainment Presents contributions from an international
selection of preeminent experts Integrates numerous supporting graphs,
tables, charts, and performance data This practical and authoritative
reference is an essential resource for researchers, professionals and
students involved in image processing, computer vision, biometrics,
security, Internet, mobile devices, human-computer interface,
E-services, computer graphics and animation, and the computer game
industry.
 
Categories:Computers - Artificial Intelligence (AI)
 
Content Type:Books
 
Year:2024
 
Edition:3rd
 
Language:english
 
Pages:437