Facial Multi-Characteristics and Applications

What features or information can we observe from a face, and how can these information help us to understand the person concerned, in terms of their well-being and what can we learn about and from each given feature? This book answers these questions by first dividing a face's multiple characteristics into two main categories: original (or physiological) features and features that change over a lifetime. The first category, original features, may be further divided into two sub-classes: features special (or unique) to an individual, and features common to a particular group. The second, changed features, can also be subdivided into two groups: features altered due to disease or features altered by other external factors. From these four sub-categories, four different applications — facial identification using original and special features; beauty analysis using original common features; facial diagnosis by disease changed features; and expression recognition through affect-changed features — are identified.

The book will benefit researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, security/clinical practice, and beauty analysis, and will also be useful for interdisciplinary research.
remove Contents: IntroductionFacial Authentication:Facial Authentication OverviewEvolutionary Discriminant Feature Based Facial RecognitionFacial Identification by Gabor Feature Based Robust RepresentationThree Dimension Enhanced Facial IdentificationFacial Beauty Analysis:Facial Beauty Analysis OverviewFacial Beauty Analysis by Geometric FeaturesFacial Beauty Analysis by Landmark ModelA New Hypothesis for Facial Beauty AnalysisFacial Beauty Analysis: Prediction, Retrieval and ManipulationFacial Diagnosis:Facial Diagnosis OverviewNon-Invasive Diabetes Mellitus Detection Using Facial ColorsHealth Status Analysis by Facial Texture FeaturesComputerized Facial Diagnosis Using Both Color and Texture FeaturesFacial Expression Recognition:Expression Recognition OverviewExpression Recognition by Supervised LLEExpression Recognition on Multiple ManifoldsCross Domain Facial Expression RecognitionBook Review and Future Work
Readership: Computer programmers and engineers, physicians, social and biomedical scientists, researchers, professionals, and graduate students in computer vision, pattern recognition, security/clinical practice, and beauty analysis, and other fields related to facial research.Pattern Recognition;Image Processing;Facial Authentication;Facial Beauty Analysis;Facial Diagnosis;Facial Expression Recognition0Key Features:Very few books are related to facial multi-characteristics and applications. This book should be the first research book about this topicThis book the first time concludes two main facial features from a face, including original features (or physiological) and changed features, where the original features could be separated in special and in common one, and the changed features could be extracted by disease and by affect, respectivelyFor these different features obtained, four typical applications in the book are well supported by experimental results using the large database