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.