Overview
- Focuses on well-defined metric and quantitative procedures, with data-driven research
- Examines standard rules of facial beauty analytics to demonstrate their validity
- Includes the designs for a new facial beauty analysis system
- Includes supplementary material: sn.pub/extras
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About this book
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 toimplement 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.
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 toimplement 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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Keywords
- Facial beauty analysis
- Computer models for facial beauty analysis
- Facial landmark models
- Facial hypotheses
- Beauty associated facial features
- Putative ratio rules for beauty analysis
- Face beautification
- Facial geometric features
- Facial texture features
- Face skin beautification
- Facial beauty analysis system
Table of contents (14 chapters)
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Front Matter
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Introduction
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Front Matter
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Hypotheses on Facial Beauty Perception
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Front Matter
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Computational Models of Facial Beauty
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Front Matter
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Application System
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Front Matter
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Reviews
Authors and Affiliations
Bibliographic Information
Book Title: Computer Models for Facial Beauty Analysis
Authors: David Zhang, Fangmei Chen, Yong Xu
DOI: https://doi.org/10.1007/978-3-319-32598-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-32596-5Published: 29 April 2016
Softcover ISBN: 978-3-319-81323-3Published: 22 April 2018
eBook ISBN: 978-3-319-32598-9Published: 19 April 2016
Edition Number: 1
Number of Pages: XV, 268
Number of Illustrations: 141 b/w illustrations
Topics: Image Processing and Computer Vision, Biometrics, Pattern Recognition, Multimedia Information Systems