{"title":"彩色图像中头部的自动检测","authors":"J. Garcia, N. Lobo, M. Shah, J. Feinstein","doi":"10.1109/CRV.2005.21","DOIUrl":null,"url":null,"abstract":"We use shape based searching to detect head contours of arbitrary size in single images. We begin by looking for a head model which is optimal for finding head contours of various orientations. Then we develop a search technique for finding contours of arbitrary size, and present a way in which the search space can be narrowed using color and intensity gradient information. We show results and discuss how the method could be improved.","PeriodicalId":307318,"journal":{"name":"The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Automatic detection of heads in colored images\",\"authors\":\"J. Garcia, N. Lobo, M. Shah, J. Feinstein\",\"doi\":\"10.1109/CRV.2005.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We use shape based searching to detect head contours of arbitrary size in single images. We begin by looking for a head model which is optimal for finding head contours of various orientations. Then we develop a search technique for finding contours of arbitrary size, and present a way in which the search space can be narrowed using color and intensity gradient information. We show results and discuss how the method could be improved.\",\"PeriodicalId\":307318,\"journal\":{\"name\":\"The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CRV.2005.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CRV.2005.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We use shape based searching to detect head contours of arbitrary size in single images. We begin by looking for a head model which is optimal for finding head contours of various orientations. Then we develop a search technique for finding contours of arbitrary size, and present a way in which the search space can be narrowed using color and intensity gradient information. We show results and discuss how the method could be improved.