S. L. Phung, A. Bouzerdoum, D. Chai, W. Kuczborski
{"title":"A color-based approach to automatic face detection","authors":"S. L. Phung, A. Bouzerdoum, D. Chai, W. Kuczborski","doi":"10.1109/ISSPIT.2003.1341175","DOIUrl":null,"url":null,"abstract":"We present a new approach to detecting quasi-frontal faces in color images. Our approach combines a color-based skin detection technique, a face candidate selection scheme using a geometric face model and color-based eye detection, and a face/nonface classification method based on the naive Bayes model. The proposed approach eliminates the computation-intensive step of window-scanning commonly adopted in holistic face detection approaches. With the proposed approach, we also address two important problems in face detection, namely coping with in-plane rotation and detecting faces of different sizes.","PeriodicalId":332887,"journal":{"name":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2003.1341175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
We present a new approach to detecting quasi-frontal faces in color images. Our approach combines a color-based skin detection technique, a face candidate selection scheme using a geometric face model and color-based eye detection, and a face/nonface classification method based on the naive Bayes model. The proposed approach eliminates the computation-intensive step of window-scanning commonly adopted in holistic face detection approaches. With the proposed approach, we also address two important problems in face detection, namely coping with in-plane rotation and detecting faces of different sizes.