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Computer Models for Facial Beauty Analysis

Language EnglishEnglish
Book Hardback
Book Computer Models for Facial Beauty Analysis David Zhang
Libristo code: 02961438
Publishers Springer International Publishing AG, April 2016
This book covers the key advances in computerized facial beauty analysis, with an emphasis on data-d... Full description
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This book covers the key advances in computerized facial beauty analysis, with an emphasis on data-driven research and the results of quantitative experiments. It takes a big step toward practical facial beauty analysis, proposes more reliable and stable facial features for beauty analysis and designs new models, methods, algorithms and schemes while implementing a facial beauty analysis and beautification system. This book also tests some previous putative rules and models for facial beauty analysis by using computationally efficient mathematical models and algorithms, especially large scale database-based and repeatable experiments. The first section of this book provides an overview of facial beauty analysis. The base of facial beauty analysis, i.e., facial beauty features, is presented in part two. Part three describes hypotheses on facial beauty, while part four defines data-driven facial beauty analysis models. This book concludes with the authors explaining how to implement their new facial beauty analysis system. This book is designed for researchers, professionals and post graduate students working in the field of facial beauty analysis, computer vision, human-machine interface, pattern recognition and biometrics. Those involved in interdisciplinary fields with also find the contents useful. The ideas, means and conclusions for beauty analysis are valuable for researchers and the system design and implementation can be used as models for practitioners and engineers. §

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About the book

Full name Computer Models for Facial Beauty Analysis
Language English
Binding Book - Hardback
Date of issue 2016
Number of pages 268
EAN 9783319325965
ISBN 3319325965
Libristo code 02961438
Weight 5502
Dimensions 155 x 235 x 242
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