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Titlebook: Handbook of Face Recognition; Stan Z. Li,Anil K. Jain Book 2011Latest edition Springer-Verlag London Limited 2011

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發(fā)表于 2025-3-21 18:22:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Handbook of Face Recognition
編輯Stan Z. Li,Anil K. Jain
視頻videohttp://file.papertrans.cn/422/421310/421310.mp4
概述Fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems.Provides comprehensive coverage of face dete
圖書(shū)封面Titlebook: Handbook of Face Recognition;  Stan Z. Li,Anil K. Jain Book 2011Latest edition Springer-Verlag London Limited 2011
描述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 face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; provides comprehensive coverage of face detection, tracking, 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; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.
出版日期Book 2011Latest edition
版次2
doihttps://doi.org/10.1007/978-0-85729-932-1
isbn_softcover978-1-4471-7119-5
isbn_ebook978-0-85729-932-1
copyrightSpringer-Verlag London Limited 2011
The information of publication is updating

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a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.978-1-4471-7119-5978-0-85729-932-1
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Zerebrale Gef??krankheiten im Altertic similarity analysis. We also discuss comparative experimental evaluation of some of these techniques as well as practical issues related to the application of subspace methods for varying pose, illumination, and expression.
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https://doi.org/10.1007/978-3-642-67424-2of computer vision and image processing. This chapter specifically describes in more details two prominent local facial features, the first one based on Gabor filter responses, and the second on more recently proposed local binary patterns (LBPs).
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Face Recognition in Subspacestic similarity analysis. We also discuss comparative experimental evaluation of some of these techniques as well as practical issues related to the application of subspace methods for varying pose, illumination, and expression.
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發(fā)表于 2025-3-22 23:15:33 | 只看該作者
Local Representation of Facial Featuresof computer vision and image processing. This chapter specifically describes in more details two prominent local facial features, the first one based on Gabor filter responses, and the second on more recently proposed local binary patterns (LBPs).
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發(fā)表于 2025-3-23 01:41:06 | 只看該作者
Stan Z. Li,Anil K. JainFully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems.Provides comprehensive coverage of face dete
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