Face Detection and Recognition: Theory and Practice (Hardcover)

Asit Kumar Datta, Madhura Datta, Pradipta Kumar Banerjee

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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
  • 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
  • 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
  • Features pictorial descriptions of every algorithm as well as downloadable source code (in MATLAB®/PYTHON) and hardware implementation strategies with code examples
  • 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應用的子空間方法以減少維度、應用統計方法進行臉部檢測以及基於人工神經網絡的智能臉部檢測方法。
- 詳細介紹彩色和紅外臉部圖像的臉部檢測、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。
- 示範頻域相關技術的應用,並提供詳盡的測試結果。

《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,其中包含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。