Neuware -This book gives an insight in the structure and the scientific algorithms of a system designed for the automatic analysis of human faces. Thereby, Face Analysis addresses the goal to extract as much abstract information as possible from a face. The applied methods base on a statistical modeling of the appearance of a face mainly determined by its shape and texture. During the analysis of a human face within a video or a picture, the appearance model is used to re-synthesize this face as optimal as possible. Various optimizations and modifications on several steps of the basic algorithm are described herein. The task not only fights the challenge of most accurate face analysis, but also the difficulties of building up an integrated, fully automatic software system which provides a high computational efficiency plus techniques for the extensive exploitation of modern standard hardware. The evaluations compare the different developed algorithms with respect to the quality of the re-synthesized face, computational complexity, and pattern recognition tasks, such as the determination of e.g. the gender, age, head pose, and facial expression of a person.Books on Demand GmbH, �berseering 33, 22297 Hamburg 168 pp. Deutsch.

N� de ref. del art�culo 9783838103662

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T�tulo: Algorithms and System Aspects for Automatic Face Analysis
Editor: S�dwestdeutscher Verlag F�r Hochschulschriften AG Co. KG Jul 2015
Fecha de publicaci�n: 2015
Idioma: Ingl�s
ISBN 10: 3838103661
ISBN 13: 9783838103662
Encuadernaci�n: Taschenbuch
Estado: Neu

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This book gives an insight in the structure and the scientific algorithms of a system designed for the automatic analysis of human faces. Thereby, Face Analysis addresses the goal to extract as much abstract information as possible from a face. The applied methods base on a statistical modeling of the appearance of a face mainly determined by its shape and texture. During the analysis of a human face within a video or a picture, the appearance model is used to re-synthesize this face as optimal as possible. Various optimizations and modifications on several steps of the basic algorithm are described herein. The task not only fights the challenge of most accurate face analysis, but also the difficulties of building up an integrated, fully automatic software system which provides a high computational efficiency plus techniques for the extensive exploitation of modern standard hardware. The evaluations compare the different developed algorithms with respect to the quality of the re-synthesized face, computational complexity, and pattern recognition tasks, such as the determination of e.g. the gender, age, head pose, and facial expression of a person.

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