{"title":"体素着色的新照片一致性测试","authors":"Jianfeng Yin, J. Cooperstock","doi":"10.1109/CRV.2005.9","DOIUrl":null,"url":null,"abstract":"Volumetric scene reconstruction is an important task for many vision applications. Most voxel coloring or space carving techniques required for this purpose suffer from the coupled problems of visibility and photo consistency. We propose a new photo consistency measurement that implicitly solves the visibility problem, thus permitting an efficient, single-scan voxel inspection that can be parallelized.","PeriodicalId":307318,"journal":{"name":"The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A new photo consistency test for voxel coloring\",\"authors\":\"Jianfeng Yin, J. Cooperstock\",\"doi\":\"10.1109/CRV.2005.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Volumetric scene reconstruction is an important task for many vision applications. Most voxel coloring or space carving techniques required for this purpose suffer from the coupled problems of visibility and photo consistency. We propose a new photo consistency measurement that implicitly solves the visibility problem, thus permitting an efficient, single-scan voxel inspection that can be parallelized.\",\"PeriodicalId\":307318,\"journal\":{\"name\":\"The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"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.2005.9\",\"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.2005.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Volumetric scene reconstruction is an important task for many vision applications. Most voxel coloring or space carving techniques required for this purpose suffer from the coupled problems of visibility and photo consistency. We propose a new photo consistency measurement that implicitly solves the visibility problem, thus permitting an efficient, single-scan voxel inspection that can be parallelized.