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Evaluation of facial attractiveness for patients with malocclusion A machine-learning technique employing Procrustes
Yu, Xiaonan1; Liu, Bin2; Pei, Yuru2; Xu, Tianmin1
关键词Facial attractiveness Machine learning
刊名ANGLE ORTHODONTIST
2014-05-01
DOI10.2319/071513-516.1
84期:3页:410-416
收录类别SCI ; SSCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Dentistry, Oral Surgery & Medicine
研究领域[WOS]Dentistry, Oral Surgery & Medicine
关键词[WOS]COSMETIC DENTISTRY ; US ORTHODONTISTS ; GOLDEN RATIOS ; PHOTOGRAPHS ; PRINCIPLES ; CHINESE ; PROFILE ; SHAPE
英文摘要

Objective: To establish an objective method for evaluating facial attractiveness from a set of orthodontic photographs.

Materials and Methods: One hundred eight malocclusion patients randomly selected from six universities in China were randomly divided into nine groups, with each group containing an equal number of patients with Class I, II, and Ill malocclusions. Sixty-nine expert Chinese orthodontists ranked photographs of the patients (frontal, lateral, and frontal smiling photos) before and after orthodontic treatment from "most attractive" to "least attractive" in each group. A weighted mean ranking was then calculated for each patient, based on which a three-point scale was created. Procrustes superimposition was conducted on 101 landmarks identified on the photographs. A support vector regression (SVR) function was set up according to the coordinate values of identified landmarks of each photographic set and its corresponding grading. Its predictive ability was tested for each group in turn.

Results: The average coincidence rate obtained for comparisons of the subjective ratings with the SVR evaluation was 71.8% according to 18 verification tests.

Conclusions: Geometric morphometrics combined with SVR may be a prospective method for objective comprehensive evaluation of facial attractiveness in the near future.

语种英语
WOS记录号WOS:000335278400004
项目编号81241036
资助机构Specific Research Project of the Health Pro Bono Sector, Ministry of Health, China ; Nature Science Foundation of China
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/63449
专题北京大学口腔医学院_牙周科
北京大学第三临床医学院_神经外科
作者单位1.Peking Univ, Sch & Hosp Stomatol, Dept Orthodont, Beijing 100081, Peoples R China
2.Peking Univ, Key Lab Machine Percept, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714
Yu, Xiaonan,Liu, Bin,Pei, Yuru,et al. Evaluation of facial attractiveness for patients with malocclusion A machine-learning technique employing Procrustes[J]. ANGLE ORTHODONTIST,2014,84(3):410-416.
APA Yu, Xiaonan,Liu, Bin,Pei, Yuru,&Xu, Tianmin.(2014).Evaluation of facial attractiveness for patients with malocclusion A machine-learning technique employing Procrustes.ANGLE ORTHODONTIST,84(3),410-416.
MLA Yu, Xiaonan,et al."Evaluation of facial attractiveness for patients with malocclusion A machine-learning technique employing Procrustes".ANGLE ORTHODONTIST 84.3(2014):410-416.
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