Face Detection and Recognition: Theory and Practice
暫譯: 臉部偵測與識別：理論與實務

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)

人臉檢測和識別是許多安全應用中選擇的非侵入性生物識別技術。它們的應用範例包括邊境管制、駕駛執照發放、執法調查和實體訪問控制。

《人臉檢測與識別：理論與實踐》詳細闡述並解釋了當前流行的人臉檢測和識別系統的理論與實踐。本書首先介紹了最先進的技術，提供了可用方法的一般回顧，並指出未來使用認知神經生理學的研究方向。接著，文本將：

- 探討在面部圖像處理中用於降維的子空間方法、應用於人臉檢測的統計方法，以及以人工神經網絡為主的智能人臉檢測方法。
- 涵蓋使用彩色和紅外人臉圖像的人臉檢測、實時人臉檢測、使用集合估計理論的人臉檢測和識別、使用進化算法的人臉識別，以及頻域中的人臉識別。
- 討論有助於人臉識別的面部地標定位方法、使用集合估計理論生成合成面部圖像的方法，以及可用於測試和訓練系統的人臉圖像數據庫。
- 提供每個算法的圖示描述，以及可下載的源代碼（在MATLAB®/PYTHON中）和帶有代碼示例的硬體實現策略。
- 演示如何使用頻域相關技術，並提供詳細的測試結果。

《人臉檢測與識別：理論與實踐》為學生、研究人員和實踐者提供了一個關於自動人臉檢測和識別中主要方法、算法和技術的前沿資訊的單一來源。

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)

阿西特·庫馬·達塔（Asit Kumar Datta）是印度加爾各答大學（University of Calcutta, CU）前教授，曾在應用物理系和應用光學與光子學系任教。他擁有該大學的碩士（M.Tech）和博士（Ph.D）學位。達塔博士在加爾各答大學擔任教授19年，並在研究生層級的教學和研究上累計有40年的經驗。此外，他還在CU的一個光電子研究中心擔任首席科學家/首席科學官8年。達塔博士在國際期刊和會議論文集中發表了大量作品，指導了14位學者獲得博士學位，並發表了近125篇論文。他在光子計算、光子和電子儀器、光通信以及模式識別等領域做出了重要貢獻。他曾代表印度參加國際光學委員會和國際照明委員會。

馬杜拉·達塔（Madhura Datta）是印度加爾各答大學大學撥款委員會-人力資源發展中心的助理主任。她擁有計算機與信息科學的碩士學位（M.Sc），以及計算機科學與工程的碩士（M.Tech）和博士（Ph.D）學位，均來自加爾各答大學。她的主要研究領域是人臉檢測與識別。她的研究成果已在多個技術出版物和會議論文集中發表，包括《模式識別研究期刊》（Journal of Pattern Recognition Research）、《計算機視覺與圖像理解》（Computer Vision and Image Understanding）、《國際模式識別與人工智慧期刊》（International Journal of Pattern Recognition and Artificial Intelligence）、《模式識別與機器智慧國際會議》（International Conference on Pattern Recognition and Machine Intelligence）以及《IEEE智能人機互動國際會議》（IEEE International Conference on Intelligent Human Computer Interaction）中亮相。

普拉迪普塔·庫馬·班納吉（Pradipta Kumar Banerjee）是印度未來工程與管理學院（Future Institute of Engineering and Management）電機工程系的副教授。他擁有學士（B.Sc）、工程學士（B.Tech）、碩士（M.Tech）和博士（Ph.D）學位。

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