{"title":"复杂背景彩色图像中的人脸定位","authors":"P. Campadelli, R. Lanzarotti, G. Lipori","doi":"10.1109/CAMP.2005.27","DOIUrl":null,"url":null,"abstract":"In this paper we describe a two step algorithm which localizes faces in 2D color images depicting a single face on a complex background. Given a single image, the algorithm roughly determines the skin regions and then searches for eyes within them. A face is localized if at least one eye is present in a skin region. The system is based on a support vector machine trained to separate sub-images representing eyes from others. The algorithm is robust to scale, illumination, pose variations and deals with partial occlusions. Results on several public databases are presented.","PeriodicalId":393875,"journal":{"name":"Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2005-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Face localization in color images with complex background\",\"authors\":\"P. Campadelli, R. Lanzarotti, G. Lipori\",\"doi\":\"10.1109/CAMP.2005.27\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe a two step algorithm which localizes faces in 2D color images depicting a single face on a complex background. Given a single image, the algorithm roughly determines the skin regions and then searches for eyes within them. A face is localized if at least one eye is present in a skin region. The system is based on a support vector machine trained to separate sub-images representing eyes from others. The algorithm is robust to scale, illumination, pose variations and deals with partial occlusions. Results on several public databases are presented.\",\"PeriodicalId\":393875,\"journal\":{\"name\":\"Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAMP.2005.27\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMP.2005.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Face localization in color images with complex background
In this paper we describe a two step algorithm which localizes faces in 2D color images depicting a single face on a complex background. Given a single image, the algorithm roughly determines the skin regions and then searches for eyes within them. A face is localized if at least one eye is present in a skin region. The system is based on a support vector machine trained to separate sub-images representing eyes from others. The algorithm is robust to scale, illumination, pose variations and deals with partial occlusions. Results on several public databases are presented.