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Face Recognition Techniques and Analysis - Classification in Principal and Histogram Spaces
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Face Recognition Techniques and Analysis - Classification in Principal and Histogram Spaces - Livres de poche

2009, ISBN: 9783639176490

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], This book presents standard as well as novel face recognition methods. These methods utilize Principal Component Analysis, Linear Discriminant Analysis, Independent Component Analysis, Gabor Wavelets, Neural Networks, Hidden Markov Models, Graph Matching, etc. Emphasis is given to the popular Eigenfaces algorithm, which is presented analytically in detail and a framework is presented for its experimental evaluation. In addition, this book presents a novel face recognition method that is computationally efficient and can be implemented as a real-time process. This method operates in quantized block histogram face spaces. Next, a classification algorithm, which inherently applies the optimum classification measure in these spaces, is mathematically derived. The development of this algorithm was motivated by the practical limitations that impair the performance of the Eigenfaces method. To overcome these limitations, theoretical and experimental statistical criteria are derived in order to achieve high recognition rates. Thus, a novel and potent face recognition framework is presented along with other standard face recognition methodologies., [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 6mm, [GW: 175g]

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Face Recognition Techniques and Analysis - Marios Kyperountas
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Marios Kyperountas:

Face Recognition Techniques and Analysis - Livres de poche

2009, ISBN: 3639176499

ID: 11476543758

[EAN: 9783639176490], Neubuch, [PU: Vdm Verlag Jul 2009], This item is printed on demand - Print on Demand Titel. Neuware - This book presents standard as well as novel face recognition methods. These methods utilize Principal Component Analysis, Linear Discriminant Analysis, Independent Component Analysis, Gabor Wavelets, Neural Networks, Hidden Markov Models, Graph Matching, etc. Emphasis is given to the popular Eigenfaces algorithm, which is presented analytically in detail and a framework is presented for its experimental evaluation. In addition, this book presents a novel face recognition method that is computationally efficient and can be implemented as a real-time process. This method operates in quantized block histogram face spaces. Next, a classification algorithm, which inherently applies the optimum classification measure in these spaces, is mathematically derived. The development of this algorithm was motivated by the practical limitations that impair the performance of the Eigenfaces method. To overcome these limitations, theoretical and experimental statistical criteria are derived in order to achieve high recognition rates. Thus, a novel and potent face recognition framework is presented along with other standard face recognition methodologies. 124 pp. Englisch

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Face Recognition Techniques and Analysis - Marios Kyperountas
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Marios Kyperountas:
Face Recognition Techniques and Analysis - nouveau livre

ISBN: 9783639176490

ID: d17cb253740db287b173ed90af0a1af8

Classification in Principal and Histogram Spaces This book presents standard as well as novel face recognition methods. These methods utilize Principal Component Analysis, Linear Discriminant Analysis, Independent Component Analysis, Gabor Wavelets, Neural Networks, Hidden Markov Models, Graph Matching, etc. Emphasis is given to the popular Eigenfaces algorithm, which is presented analytically in detail and a framework is presented for its experimental evaluation. In addition, this book presents a novel face recognition method that is computationally efficient and can be implemented as a real-time process. This method operates in quantized block histogram face spaces. Next, a classification algorithm, which inherently applies the optimum classification measure in these spaces, is mathematically derived. The development of this algorithm was motivated by the practical limitations that impair the performance of the Eigenfaces method. To overcome these limitations, theoretical and experimental statistical criteria are derived in order to achieve high recognition rates. Thus, a novel and potent face recognition framework is presented along with other standard face recognition methodologies. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-639-17649-0, VDM

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Face Recognition Techniques and Analysis als Buch von Marios Kyperountas - Marios Kyperountas
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Marios Kyperountas:
Face Recognition Techniques and Analysis als Buch von Marios Kyperountas - edition reliée, livre de poche

ISBN: 9783639176490

ID: 426647144

Face Recognition Techniques and Analysis:Classification in Principal and Histogram Spaces Marios Kyperountas Face Recognition Techniques and Analysis:Classification in Principal and Histogram Spaces Marios Kyperountas Bücher > Wissenschaft > Technik, VDM Verlag

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Face Recognition Techniques and Analysis - Kyperountas, Marios
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Kyperountas, Marios:
Face Recognition Techniques and Analysis - Livres de poche

2009, ISBN: 3639176499

Edition reliée, ID: 5340606

Classification in Principal and Histogram Spaces - Buch, gebundene Ausgabe, 124 S., Beilagen: Paperback, Erschienen: 2009 VDM Verlag, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Détails sur le livre
Face Recognition Techniques and Analysis
Auteur:

Kyperountas, Marios

Titre:

Face Recognition Techniques and Analysis

ISBN:

9783639176490

Informations détaillées sur le livre - Face Recognition Techniques and Analysis


EAN (ISBN-13): 9783639176490
ISBN (ISBN-10): 3639176499
Version reliée
Livre de poche
Date de parution: 2009
Editeur: VDM Verlag
124 Pages
Poids: 0,202 kg
Langue: eng/Englisch

Livre dans la base de données depuis 02.07.2008 22:11:03
Livre trouvé récemment le 11.02.2017 06:27:36
ISBN/EAN: 9783639176490

ISBN - Autres types d'écriture:
3-639-17649-9, 978-3-639-17649-0

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