2009, ISBN: 9783639176490

This book presents standard as well as novel facerecognition methods. These methods utilize PrincipalComponent Analysis, Linear Discriminant Analysis,Independent Component Analysis, Gabor… Plus…

This book presents standard as well as novel facerecognition methods. These methods utilize PrincipalComponent Analysis, Linear Discriminant Analysis,Independent Component Analysis, Gabor Wavelets,Neural Networks, Hidden Markov Models, GraphMatching, etc. Emphasis is given to the popularEigenfaces algorithm, which is presented analyticallyin detail and a framework is presented for itsexperimental evaluation. In addition, this bookpresents a novel face recognition method that iscomputationally efficient and can be implemented as areal-time process. This method operates in quantizedblock histogram face spaces. Next, a classificationalgorithm, which inherently applies the optimumclassification measure in these spaces, ismathematically derived. The development of thisalgorithm was motivated by the practical limitationsthat impair the performance of the Eigenfaces method.To overcome these limitations, theoretical andexperimental statistical criteria are derived inorder to achieve high recognition rates. Thus, anovel and potent face recognition framework ispresented along with other standard face recognitionmethodologies. Buch (fremdspr.) Marios Kyperountas Taschenbuch, VDM, 01.07.2009, VDM, 2009<

2009, ISBN: 9783639176490

This book presents standard as well as novel facerecognition methods. These methods utilize PrincipalComponent Analysis, Linear Discriminant Analysis,Independent Component Analysis, Gabor… Plus…

This book presents standard as well as novel facerecognition methods. These methods utilize PrincipalComponent Analysis, Linear Discriminant Analysis,Independent Component Analysis, Gabor Wavelets,Neural Networks, Hidden Markov Models, GraphMatching, etc. Emphasis is given to the popularEigenfaces algorithm, which is presented analyticallyin detail and a framework is presented for itsexperimental evaluation. In addition, this bookpresents a novel face recognition method that iscomputationally efficient and can be implemented as areal-time process. This method operates in quantizedblock histogram face spaces. Next, a classificationalgorithm, which inherently applies the optimumclassification measure in these spaces, ismathematically derived. The development of thisalgorithm was motivated by the practical limitationsthat impair the performance of the Eigenfaces method.To overcome these limitations, theoretical andexperimental statistical criteria are derived inorder to achieve high recognition rates. Thus, anovel and potent face recognition framework ispresented along with other standard face recognitionmethodologies. Buch (fremdspr.) Marios Kyperountas Taschenbuch, VDM, 01.07.2009, VDM, 2009<

2009, ISBN: 9783639176490

This book presents standard as well as novel facerecognition methods. These methods utilize PrincipalComponent Analysis, Linear Discriminant Analysis,Independent Component Analysis, Gabor… Plus…

This book presents standard as well as novel facerecognition methods. These methods utilize PrincipalComponent Analysis, Linear Discriminant Analysis,Independent Component Analysis, Gabor Wavelets,Neural Networks, Hidden Markov Models, GraphMatching, etc. Emphasis is given to the popularEigenfaces algorithm, which is presented analyticallyin detail and a framework is presented for itsexperimental evaluation. In addition, this bookpresents a novel face recognition method that iscomputationally efficient and can be implemented as areal-time process. This method operates in quantizedblock histogram face spaces. Next, a classificationalgorithm, which inherently applies the optimumclassification measure in these spaces, ismathematically derived. The development of thisalgorithm was motivated by the practical limitationsthat impair the performance of the Eigenfaces method.To overcome these limitations, theoretical andexperimental statistical criteria are derived inorder to achieve high recognition rates. Thus, anovel and potent face recognition framework ispresented along with other standard face recognitionmethodologies. Buch (fremdspr.) Marios Kyperountas Taschenbuch, VDM, 01.07.2009, VDM, 2009<

2009, ISBN: 9783639176490

Erscheinungsdatum: 07/2009, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Face Recognition Techniques and Analysis, Titelzusatz: Classification in Principal and Histogram … Plus…

Erscheinungsdatum: 07/2009, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Face Recognition Techniques and Analysis, Titelzusatz: Classification in Principal and Histogram Spaces, Autor: Kyperountas, Marios, Verlag: VDM Verlag, Sprache: Englisch, Rubrik: Technik // Sonstiges, Seiten: 124, Informationen: Paperback, Gewicht: 202 gr, Verkäufer: averdo Sachbücher, [PU: VDM Verlag Dr. Müller, Saarbrücken]<

ISBN: 9783639176490

*Face Recognition Techniques and Analysis* - Classification in Principal and Histogram Spaces / Taschenbuch für 58.99 € / Aus dem Bereich: Bücher, Wissenschaft, Technik Medien > Bücher ne… Plus…

*Face Recognition Techniques and Analysis* - Classification in Principal and Histogram Spaces / Taschenbuch für 58.99 € / Aus dem Bereich: Bücher, Wissenschaft, Technik Medien > Bücher nein Buch (kartoniert) Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Technik, VDM Verlag Dr. Müller<