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Computer Models for Facial Beauty Analysis

  • Book
  • © 2016

Overview

Authors:
  1. David Zhang

    1. Room PQ809, Building P, The Hong Kong Polytechnic Univ, Hung Hom, Hong Kong

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  2. Fangmei Chen

    1. Tsinghua University, Shenzhen, China

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    You can also search for this author in PubMed   Google Scholar

  3. Yong Xu

    1. Harbin Institute of Technology, Shenzhen, China

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  • 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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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xv
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Overview

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 3-17

    3. Typical Facial Beauty Analysis

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 19-31

  3. Facial Images and Features

    1. Front Matter

      Pages 33-33
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    2. Facial Landmark Model Design

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 35-52

    3. Geometrics Facial Beauty Study

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 53-68

    4. Putative Ratio Rules for Facial Beauty Indexing

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 69-87

    5. Beauty Analysis Fusion Model of Texture and Geometric Features

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 89-101

    6. Optimal Feature Set for Facial Beauty Analysis

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 103-119

  4. Hypotheses on Facial Beauty Perception

    1. Front Matter

      Pages 121-121
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    2. Examination of Averageness Hypothesis on Large Database

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 123-142

    3. A New Hypothesis on Facial Beauty Perception

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 143-163

  5. Computational Models of Facial Beauty

    1. Front Matter

      Pages 165-165
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    2. Beauty Analysis by Learning Machine and Subspace Extension

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 167-197

    3. Combining a Causal Effect Criterion for Evaluation of Facial Beauty Models

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 199-215

    4. Data-Driven Facial Beauty Analysis: Prediction, Retrieval and Manipulation

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 217-234

  6. Application System

    1. Front Matter

      Pages 235-235
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    2. A Facial Beauty Analysis Simulation System

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 237-258

    3. Book Review and Future Work

      • David Zhang, Fangmei Chen, Yong Xu
      Pages 259-263
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Keywords

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.


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Authors and Affiliations

  • Room PQ809, Building P, The Hong Kong Polytechnic Univ, Hung Hom, Hong Kong

    David Zhang

  • Tsinghua University, Shenzhen, China

    Fangmei Chen

  • Harbin Institute of Technology, Shenzhen, China

    Yong Xu

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

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