Isbn: 9780367377267 - face detection and recognition: theory and practice (14 risultati)

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Paperback. Condizione: new. Paperback. Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, drivers license issuance, law enforcement investigations, and physical access control.Face Detection and Recognition: Theory and Practice elaborates on andexplains 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 networksCovers 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 domainDiscusses 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 systemsFeatures pictorial descriptions of every algorithm as well as downloadable source code (in MATLAB/PYTHON) and hardware implementation strategies with code examplesDemonstrates how frequency domain correlation techniques can be used supplying exhaustive test resultsFace 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. This book discusses the major approaches, algorithms, and technologies used in automated face detection and recognition. Explaining the theory and practice of systems currently in vogue, the text covers face detection with colour and infrared face images, face detection in real time, face detection and recognition using set estimation theory Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: New. 2019. 1st Edition. paperback. . . . . .

Condizione: New.

Paperback. Condizione: Brand New. 352 pages. 9.00x6.00x0.50 inches. In Stock.

Condizione: New. 2019. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Condizione: New. 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.

Paperback. Condizione: new. Paperback. Face detection and recognition are the nonintrusive biometrics of choice in many security applications. Examples of their use include border control, drivers license issuance, law enforcement investigations, and physical access control.Face Detection and Recognition: Theory and Practice elaborates on andexplains 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 networksCovers 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 domainDiscusses 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 systemsFeatures pictorial descriptions of every algorithm as well as downloadable source code (in MATLAB/PYTHON) and hardware implementation strategies with code examplesDemonstrates how frequency domain correlation techniques can be used supplying exhaustive test resultsFace 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. This book discusses the major approaches, algorithms, and technologies used in automated face detection and recognition. Explaining the theory and practice of systems currently in vogue, the text covers face detection with colour and infrared face images, face detection in real time, face detection and recognition using set estimation theory Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…