Computer Models for Facial Beauty Analysis (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	April 2016
First published:	2016
Authors:	David Zhang • Fangmei Chen • Yong Xu
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	268
Edition:	1st ed. 2016
ISBN-13:	978-3-319-32596-5
Categories:	Books > Computing & IT > Computer software packages > Multimedia Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-319-32596-5
Barcode:	9783319325965

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