Hui Kong, E. Teoh, Jian-Gang Wang, R. Venkateswarlu
{"title":"Coplanar light sweep-surface supported uncalibrated photometric stereo","authors":"Hui Kong, E. Teoh, Jian-Gang Wang, R. Venkateswarlu","doi":"10.1109/ICPR.2004.1333713","DOIUrl":null,"url":null,"abstract":"In lambertian uncalibrated photometric stereo (VPS), the object surface albedo and normals, the lighting directions and intensities are determined up to an arbitrary invertible matrix. In this paper, a novel method is proposed to reduce such an ambiguity. With the support of a coplanar light sweep-surface (CLSS), some key normals are determined relative to a fiducial normal which is estimated by the CLSS. Thus the arbitrary transformation is reduced to invertible matrix up to a rotation and a scale. The rotation can be solved by controlling the direction of camera, the resulting ambiguity transformation can be finally determined up to a global scale.","PeriodicalId":335842,"journal":{"name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.2004.1333713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In lambertian uncalibrated photometric stereo (VPS), the object surface albedo and normals, the lighting directions and intensities are determined up to an arbitrary invertible matrix. In this paper, a novel method is proposed to reduce such an ambiguity. With the support of a coplanar light sweep-surface (CLSS), some key normals are determined relative to a fiducial normal which is estimated by the CLSS. Thus the arbitrary transformation is reduced to invertible matrix up to a rotation and a scale. The rotation can be solved by controlling the direction of camera, the resulting ambiguity transformation can be finally determined up to a global scale.