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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 - Taschenbuch

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 - Taschenbuch

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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Face Recognition Techniques and Analysis - neues Buch

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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Face Recognition Techniques and Analysis als Buch von Marios Kyperountas - gebunden oder broschiert

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 - Taschenbuch

2009, ISBN: 3639176499

Gebundene Ausgabe, 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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Details zum Buch
Face Recognition Techniques and Analysis
Autor:

Kyperountas, Marios

Titel:

Face Recognition Techniques and Analysis

ISBN-Nummer:

3639176499

Detailangaben zum Buch - Face Recognition Techniques and Analysis


EAN (ISBN-13): 9783639176490
ISBN (ISBN-10): 3639176499
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: VDM Verlag
124 Seiten
Gewicht: 0,202 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 02.07.2008 22:11:03
Buch zuletzt gefunden am 11.02.2017 06:27:36
ISBN/EAN: 3639176499

ISBN - alternative Schreibweisen:
3-639-17649-9, 978-3-639-17649-0

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