| 书目名称 | Handbook of Face Recognition | | 编辑 | Stan Z. Li,Anil K. Jain,Jiankang Deng | | 视频video | | | 概述 | Covers the entire spectrum of concepts, methods, and algorithms for automated face detection.Provides comprehensive coverage of face detection, tracking, alignment, feature extraction.Describes a broa | | 图书封面 |  | | 描述 | .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 | | 出版日期 | Book 2024Latest edition | | 关键词 | Face Recognition; Convolutional Neural Networks; Deep Learning; Biometric Verification; Security and Pri | | 版次 | 3 | | doi | https://doi.org/10.1007/978-3-031-43567-6 | | isbn_softcover | 978-3-031-43569-0 | | isbn_ebook | 978-3-031-43567-6 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:59:59
