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Computer Models for Facial Beauty Analysis

  • David Zhang
  • Fangmei Chen
  • Yong Xu

Table of contents

  1. Front Matter
    Pages i-xv
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. David Zhang, Fangmei Chen, Yong Xu
      Pages 3-17
    3. David Zhang, Fangmei Chen, Yong Xu
      Pages 19-31
  3. Facial Images and Features

    1. Front Matter
      Pages 33-33
    2. David Zhang, Fangmei Chen, Yong Xu
      Pages 35-52
    3. David Zhang, Fangmei Chen, Yong Xu
      Pages 53-68
    4. David Zhang, Fangmei Chen, Yong Xu
      Pages 69-87
    5. David Zhang, Fangmei Chen, Yong Xu
      Pages 89-101
    6. David Zhang, Fangmei Chen, Yong Xu
      Pages 103-119
  4. Hypotheses on Facial Beauty Perception

    1. Front Matter
      Pages 121-121
    2. David Zhang, Fangmei Chen, Yong Xu
      Pages 123-142
    3. David Zhang, Fangmei Chen, Yong Xu
      Pages 143-163
  5. Computational Models of Facial Beauty

    1. Front Matter
      Pages 165-165
    2. David Zhang, Fangmei Chen, Yong Xu
      Pages 167-197
    3. David Zhang, Fangmei Chen, Yong Xu
      Pages 199-215
    4. David Zhang, Fangmei Chen, Yong Xu
      Pages 217-234
  6. Application System

    1. Front Matter
      Pages 235-235
    2. David Zhang, Fangmei Chen, Yong Xu
      Pages 237-258
    3. David Zhang, Fangmei Chen, Yong Xu
      Pages 259-263
  7. Back Matter
    Pages 265-268

About this book

Introduction

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.

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

Authors and affiliations

  • David Zhang
    • 1
  • Fangmei Chen
    • 2
  • Yong Xu
    • 3
  1. 1.Room PQ809, Building PThe Hong Kong Polytechnic UnivHung HomHong Kong
  2. 2.Tsinghua UniversityShenzhenChina
  3. 3.Harbin Institute of TechnologyShenzhenChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-32598-9
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-32596-5
  • Online ISBN 978-3-319-32598-9
  • Buy this book on publisher's site