Name: Face Detection and Recognition: Theory and Practice (en Inglés)
Price: 174720.00 CLP
Availability: InStock
Author: Asit Kumar Datta; Madhura Datta; Pradipta Kumar Banerjee
ISBN: 9781482226546

portada Face Detection and Recognition: Theory and Practice (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Asit Kumar Datta; Madhura Datta; Pradipta Kumar Banerjee

Año

2015

Idioma

Inglés

N° páginas

352

Encuadernación

Tapa Dura

ISBN13

9781482226546

N° edición

Categorías

Reconocimiento de formas
Visión por ordenador

Face Detection and Recognition: Theory and Practice (en Inglés)

Asit Kumar Datta; Madhura Datta; Pradipta Kumar Banerjee (Autor) · Crc Pr Inc · Tapa Dura

Libro Físico

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Face Detection and Recognition: Theory and Practice (en Inglés)"

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.