Algorithms and System Aspects for Automatic Face Analysis | Performance and Challenges of Modern Face Analysis Techniques Built on Current Standard Hardware and Latest Mathematical Algorithms

Ronald Müller

ISBN 10: 3838103661 / ISBN 13: 9783838103662

Edité par Südwestdeutscher Verlag für Hochschulschriften AG Co. KG, 2015

A propos de cet article

Algorithms and System Aspects for Automatic Face Analysis | Performance and Challenges of Modern Face Analysis Techniques Built on Current Standard Hardware and Latest Mathematical Algorithms | Ronald Müller | Taschenbuch | 168 S. | Deutsch | 2015 | Südwestdeutscher Verlag für Hochschulschriften AG Co. KG | EAN 9783838103662 | Verantwortliche Person für die EU: Südwestdt. Verl. f. Hochschulschrift., Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

N° de réf. du vendeur 101575662

Détails bibliographiques

• Titre: Algorithms and System Aspects for Automatic Face Analysis | Performance and Challenges of Modern Face Analysis Techniques Built on Current Standard Hardware and Latest Mathematical Algorithms
• Éditeur: Südwestdeutscher Verlag für Hochschulschriften AG Co. KG
• Date de parution: 2015
• Langue: anglais
• ISBN à 10 chiffres: 3838103661
• ISBN à 13 chiffres: 9783838103662
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

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.