Algorithms and System Aspects for Automatic Face Analysis

Ronald Müller

ISBN 10: 3838103661 / ISBN 13: 9783838103662

Published by Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Jul 2015, 2015

About this Item

This item is printed on demand - it takes 3-4 days longer - 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. 168 pp. Deutsch.

Seller Inventory # 9783838103662

Bibliographic Details

• Title: Algorithms and System Aspects for Automatic Face Analysis
• Publisher: Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG Jul 2015
• Publication Date: 2015
• Language: English
• ISBN 10: 3838103661
• ISBN 13: 9783838103662
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.

About the Author

Ronald Müller was born in Munich, Germany, in 1980. After the study of Electrical Engineering and Information Technology at the Technische Universität München he received the German Diploma degree in 2003. Besides various business activities he earned a doctorate for research on Pattern Recognition focused on visual Face Analysis in 2008.