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Face Recognition for Surveillance Purpose: Using Orthogonal Transforms and Vector Quantization Techniques - Softcover
Synopsis
This book is an attempt to unravel the problem of human face recognition. Face recognition is a biometric authentication method that has become more and more relevant in the recent years for the purpose of surveillance. Face recognition is a popular research area where there are different approaches studied in the literature. In this book face recognition problem is handled by applying Principal Component Analysis (PCA), Various Orthogonal transforms and different Vector Quantization (VQ) codebook generation techniques. The Eigen face method tries to find a lower dimensional space for the representation of the face images. The main drawback of PCA is scalability. As dataset changes the whole eigenspace distribution also changes. To avoid this difficulty various orthogonal transforms like DCT, DST, WHT, Slant, Wavelet Transform and newly proposed Kekre's Transform are applied on database. The concept of image energy compaction in low frequency coefficients is explored here.The VQ is considered to be a good data compression method. The key to VQ is the good codebook generation. Here the new technique for codebook generation is introduced as Kekre's Fast Code Book Generation (KFCG).
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Face Recognition for Surveillance Purpose
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LAP LAMBERT Academic Publishing Jun 2014, 2014
ISBN 10: 3659351482
ISBN 13: 9783659351488
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is an attempt to unravel the problem of human face recognition. Face recognition is a biometric authentication method that has become more and more relevant in the recent years for the purpose of surveillance. Face recognition is a popular research area where there are different approaches studied in the literature. In this book face recognition problem is handled by applying Principal Component Analysis (PCA), Various Orthogonal transforms and different Vector Quantization (VQ) codebook generation techniques. The Eigen face method tries to find a lower dimensional space for the representation of the face images. The main drawback of PCA is scalability. As dataset changes the whole eigenspace distribution also changes. To avoid this difficulty various orthogonal transforms like DCT, DST, WHT, Slant, Wavelet Transform and newly proposed Kekre's Transform are applied on database. The concept of image energy compaction in low frequency coefficients is explored here.The VQ is considered to be a good data compression method. The key to VQ is the good codebook generation. Here the new technique for codebook generation is introduced as Kekre's Fast Code Book Generation (KFCG). 288 pp. Englisch. Seller Inventory # 9783659351488
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Face Recognition for Surveillance Purpose
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659351482
ISBN 13: 9783659351488
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Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shah KamalDr. Kamal Shah has received BE Electrical Engg. In 1996 from NIT-Surat and M.E. EXTC in 2005 from Mumbai University. She has completed her Ph.D in Engg. (Face Recognition) from NMIMS university in 2010. She has 15 years of . Seller Inventory # 385766477
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Face Recognition for Surveillance Purpose : Using Orthogonal Transforms and Vector Quantization Techniques
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659351482
ISBN 13: 9783659351488
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is an attempt to unravel the problem of human face recognition. Face recognition is a biometric authentication method that has become more and more relevant in the recent years for the purpose of surveillance. Face recognition is a popular research area where there are different approaches studied in the literature. In this book face recognition problem is handled by applying Principal Component Analysis (PCA), Various Orthogonal transforms and different Vector Quantization (VQ) codebook generation techniques. The Eigen face method tries to find a lower dimensional space for the representation of the face images. The main drawback of PCA is scalability. As dataset changes the whole eigenspace distribution also changes. To avoid this difficulty various orthogonal transforms like DCT, DST, WHT, Slant, Wavelet Transform and newly proposed Kekre's Transform are applied on database. The concept of image energy compaction in low frequency coefficients is explored here.The VQ is considered to be a good data compression method. The key to VQ is the good codebook generation. Here the new technique for codebook generation is introduced as Kekre's Fast Code Book Generation (KFCG). Seller Inventory # 9783659351488
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Face Recognition for Surveillance Purpose
Published by
LAP LAMBERT Academic Publishing Jun 2014, 2014
ISBN 10: 3659351482
ISBN 13: 9783659351488
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is an attempt to unravel the problem of human face recognition. Face recognition is a biometric authentication method that has become more and more relevant in the recent years for the purpose of surveillance. Face recognition is a popular research area where there are different approaches studied in the literature. In this book face recognition problem is handled by applying Principal Component Analysis (PCA), Various Orthogonal transforms and different Vector Quantization (VQ) codebook generation techniques. The Eigen face method tries to find a lower dimensional space for the representation of the face images. The main drawback of PCA is scalability. As dataset changes the whole eigenspace distribution also changes. To avoid this difficulty various orthogonal transforms like DCT, DST, WHT, Slant, Wavelet Transform and newly proposed Kekre's Transform are applied on database. The concept of image energy compaction in low frequency coefficients is explored here.The VQ is considered to be a good data compression method. The key to VQ is the good codebook generation. Here the new technique for codebook generation is introduced as Kekre's Fast Code Book Generation (KFCG).OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 288 pp. Englisch. Seller Inventory # 9783659351488
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Face Recognition for Surveillance Purpose | Using Orthogonal Transforms and Vector Quantization Techniques
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 3659351482
ISBN 13: 9783659351488
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Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Face Recognition for Surveillance Purpose | Using Orthogonal Transforms and Vector Quantization Techniques | Kamal Shah (u. a.) | Taschenbuch | 288 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783659351488 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 113839980