Yanwen Jiang, Hua Sun, Gang Jin, Jiaping Chen, X. Qian
{"title":"One Intelligent Facial Blackheads Identification Method Based on Computer Vision Technology","authors":"Yanwen Jiang, Hua Sun, Gang Jin, Jiaping Chen, X. Qian","doi":"10.1145/3366715.3366736","DOIUrl":null,"url":null,"abstract":"Blackheads are a subtype of acne. As a cosmetic problem, it seriously affects patient's facial appearance and psychological condition. So it has attracted more and more public attention in recent years. However due to the evaluation standards are not uniformed, the grade methods of existing acne still are lack of objective quantitative standard. Even for professionals with long training, there remains great variability among the evaluators. The experimental shows that the new intelligent method is similar to the results of professional dermatologists in terms of blackheads counting and has high efficiency advantages. What's more, it achieves the leap from qualitative to quantitative analysis in blackheads identification field.","PeriodicalId":425980,"journal":{"name":"Proceedings of the 2019 International Conference on Robotics Systems and Vehicle Technology - RSVT '19","volume":"221 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 International Conference on Robotics Systems and Vehicle Technology - RSVT '19","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3366715.3366736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Blackheads are a subtype of acne. As a cosmetic problem, it seriously affects patient's facial appearance and psychological condition. So it has attracted more and more public attention in recent years. However due to the evaluation standards are not uniformed, the grade methods of existing acne still are lack of objective quantitative standard. Even for professionals with long training, there remains great variability among the evaluators. The experimental shows that the new intelligent method is similar to the results of professional dermatologists in terms of blackheads counting and has high efficiency advantages. What's more, it achieves the leap from qualitative to quantitative analysis in blackheads identification field.