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Research On Computerized Facial Esthetics

Posted on:2011-06-24Degree:MasterType:Thesis
Country:ChinaCandidate:K SunFull Text:PDF
GTID:2178360332458120Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Research on human's esthetics has a history of several thousand years, in which facial esthetics is its essential focus. But traditional facial esthetics research has some inherent shortcomings, such as subjectivity during the research process, time consuming and so on, all of this prevent the theoretical progress and practical application of this field. So in this paper, based on Medical esthetics and traditional theoretical we propose the concept of Computed Facial Medical Esthetics, aiming at quantifying and automating this research, we also hope that the result can be used to guide clinical application, such as cosmetology, plastics surgery and so on.First, we give a comprehensive definition for feature points which are used to depict facial features.As for the number of these points we use an optimal selection algorithm by analyzing their stability. So we can reduce the low-level inaccuracy.Secondly, we aim at extracting these feature points automatically, there are some algorithms based on flexible models, of which the active contour models and active shape models has the best performance. We analyze them and make some improvements, using these algorithms we can enlarge our research on large amount of samples.Thirdly, after obtaining these feature points, we do not use them directly; instead we construct a geometrical facial beauty vector of visual sensation significance, which consists of outline information and the facial parameter information. Then we obtain a model between this vector and beauty indices by support vector regression technology.Then for a given facial image, we can extract its feature points, construct GFBV and use SVR and optimization to get a target vector, which is near to this GFBV but has higher beauty index andt map to facial feature points.Finally, using these target feature points and original feature points we can implement image deformation, which can produce a target face with higher beauty index. The result can be used to guide cosmetology, plastics surgery and so on.
Keywords/Search Tags:Facial Feature Point Standizization, Facial Feature Point Extraction, Support Vector Regression, Facial Feature Deformation
PDF Full Text Request
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