Face Detection and Recognition: Theory and Practice

Datta, Asit Kumar, Datta, Madhura, Banerjee, Pradipta Kumar

Face Detection and Recognition: Theory and Practice

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商品描述

Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, driver's license issuance, law enforcement investigations, and physical access control.

 

 

Face Detection and Recognition: Theory and Practice elaborates on and explains the theory and practice of face detection and recognition systems currently in vogue. The book begins with an introduction to the state of the art, offering a general review of the available methods and an indication of future research using cognitive neurophysiology. The text then:

 

 

 

 




     
  • Explores subspace methods for dimensionality reduction in face image processing, statistical methods applied to face detection, and intelligent face detection methods dominated by the use of artificial neural networks



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  • Covers face detection with colour and infrared face images, face detection in real time, face detection and recognition using set estimation theory, face recognition using evolutionary algorithms, and face recognition in frequency domain



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  • Discusses methods for the localization of face landmarks helpful in face recognition, methods of generating synthetic face images using set estimation theory, and databases of face images available for testing and training systems



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  • Features pictorial descriptions of every algorithm as well as downloadable source code (in MATLAB(R)/PYTHON) and hardware implementation strategies with code examples



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  • Demonstrates how frequency domain correlation techniques can be used supplying exhaustive test results

 

 

 

 

Face Detection and Recognition: Theory and Practice provides students, researchers, and practitioners with a single source for cutting-edge information on the major approaches, algorithms, and technologies used in automated face detection and recognition.

 

 

商品描述(中文翻譯)

臉部檢測和識別是許多安全應用中非侵入性生物識別的首選。它們的使用示例包括邊境管制、駕照發放、執法調查和實體存取控制。

《臉部檢測和識別：理論與實踐》詳細介紹和解釋了當前流行的臉部檢測和識別系統的理論和實踐。該書首先介紹了最新技術的現狀，概述了可用方法並指出未來使用認知神經生理學進行的研究方向。接下來的內容包括：

- 探討在臉部圖像處理中用於降維的子空間方法、應用於臉部檢測的統計方法，以及以人工神經網絡為主的智能臉部檢測方法。
- 詳細介紹彩色和紅外臉部圖像的檢測、實時臉部檢測、使用集合估計理論進行臉部檢測和識別、使用演化算法進行臉部識別以及頻域中的臉部識別。
- 討論有助於臉部識別的臉部特徵點定位方法、使用集合估計理論生成合成臉部圖像的方法，以及可用於測試和訓練系統的臉部圖像數據庫。
- 提供每個算法的圖解描述，並提供可下載的源代碼（使用MATLAB / PYTHON）和代碼示例的硬件實現策略。
- 演示了頻域相關技術的應用，並提供了詳盡的測試結果。

《臉部檢測和識別：理論與實踐》為學生、研究人員和從業人員提供了一個單一來源，提供了自動臉部檢測和識別中使用的主要方法、算法和技術的尖端信息。

作者簡介

Asit Kumar Datta is a former professor of the University of Calcutta (CU), Kolkata, India, where he served in the Department of Applied Physics and the Department of Applied Optics and Photonics. He holds an M.Tech and Ph.D from the same university. Dr. Datta spent 19 years as a professor and a total of 40 years of teaching and research at the post-graduate level at CU. In addition, he served for 8 years as a principal scientist/principal scientific officer of a CU research center in optical electronics. Widely published in international journals and conference proceedings, Dr. Datta has guided 14 scholars toward their Ph.Ds and has published nearly 125 papers. He has contributed significantly in the areas of photonic computation, photonic and electronic instrumentation, optical communications, and pattern recognition. He represented India at the International Commission on Optics and the International Commission on Illumination.

 

 

Madhura Datta is the assistant director of the University Grants Commission-Human Resources Development Center, University of Calcutta, Kolkata, India. She holds an M.Sc in computer and information science, and an M.Tech and Ph.D in computer science and engineering from the University of Calcutta. Her primary areas of research are face detection and recognition. Her work has been featured in various technical publications and conference proceedings, including the Journal of Pattern Recognition Research, Computer Vision and Image Understanding, International Journal of Pattern Recognition and Artificial Intelligence, International Conference on Pattern Recognition and Machine Intelligence, and IEEE International Conference on Intelligent Human Computer Interaction.

 

 

 

 

Pradipta Kumar Banerjee is an associate professor in the Department of Electrical Engineering of the Future Institute of Engineering and Management, Kolkata, India. He holds a B.Sc, B.Tech, M.Tech, and Ph.D from the

 

 

作者簡介(中文翻譯)

Asit Kumar Datta是印度加爾各答加爾各答大學(CU)的前教授，曾在應用物理學系和應用光學與光子學系任職。他在同一所大學獲得了碩士和博士學位。Datta博士在CU擔任教授19年，並在研究生階段進行了40年的教學和研究。此外，他還在一個CU光電子研究中心擔任了8年的首席科學家/首席科學官。Datta博士在國際期刊和會議論文中廣泛發表，指導了14位博士生並發表了近125篇論文。他在光子計算、光子和電子儀器、光通信和模式識別等領域做出了重要貢獻。他代表印度參加了國際光學委員會和國際照明委員會。

Madhura Datta是印度加爾各答加爾各答大學大學補助委員會人力資源發展中心的助理主任。她在加爾各答大學獲得了計算機和信息科學碩士學位，以及計算機科學和工程碩士和博士學位。她的主要研究領域是人臉檢測和識別。她的工作在各種技術出版物和會議論文中得到了展示，包括《模式識別研究期刊》、《計算機視覺和圖像理解》、《模式識別與人工智能國際期刊》、《模式識別和機器智能國際會議》和《IEEE智能人機交互國際會議》。

Pradipta Kumar Banerjee是印度加爾各答未來工程與管理學院電氣工程系的副教授。他擁有理學士、工學士、碩士和博士學位。

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