{"title":"结构光系统的自适应色彩分类","authors":"P. Fechteler, P. Eisert","doi":"10.1109/CVPRW.2008.4563048","DOIUrl":null,"url":null,"abstract":"We present a system to capture high accuracy 3D models of faces by taking just one photo without the need of specialized hardware, just a consumer grade digital camera and beamer. The proposed 3D face scanner utilizes structured light techniques: A colored pattern is projected into the face of interest while a photo is taken. Then, the 3D geometry is calculated based on the distortions of the pattern detected in the face. This is performed by triangulating the pattern found in the captured image with the projected one.","PeriodicalId":102206,"journal":{"name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"93","resultStr":"{\"title\":\"Adaptive color classification for structured light systems\",\"authors\":\"P. Fechteler, P. Eisert\",\"doi\":\"10.1109/CVPRW.2008.4563048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a system to capture high accuracy 3D models of faces by taking just one photo without the need of specialized hardware, just a consumer grade digital camera and beamer. The proposed 3D face scanner utilizes structured light techniques: A colored pattern is projected into the face of interest while a photo is taken. Then, the 3D geometry is calculated based on the distortions of the pattern detected in the face. This is performed by triangulating the pattern found in the captured image with the projected one.\",\"PeriodicalId\":102206,\"journal\":{\"name\":\"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"93\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVPRW.2008.4563048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVPRW.2008.4563048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive color classification for structured light systems
We present a system to capture high accuracy 3D models of faces by taking just one photo without the need of specialized hardware, just a consumer grade digital camera and beamer. The proposed 3D face scanner utilizes structured light techniques: A colored pattern is projected into the face of interest while a photo is taken. Then, the 3D geometry is calculated based on the distortions of the pattern detected in the face. This is performed by triangulating the pattern found in the captured image with the projected one.
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