Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, P. Kalra
{"title":"Modeling of free-form surfaces and shape from shading","authors":"Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, P. Kalra","doi":"10.1109/TDPVT.2004.1335294","DOIUrl":null,"url":null,"abstract":"Modeling a free-form 3D-surface from a single view has been a widely pursued problem. The existing schemes are either fully-automatic shape-from-X techniques or involve adept interaction from the user but little or no geometric (photometric) basis. We propose a novel scheme of interactive modeling of free-form lambertian surfaces where the solution obtained is consistent with the shape from shading model. To this end, a reinforcement learning based scheme has been adopted which allows user intervention at any stage of the algorithm to guide the SFS solution to a global minimum.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDPVT.2004.1335294","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Modeling a free-form 3D-surface from a single view has been a widely pursued problem. The existing schemes are either fully-automatic shape-from-X techniques or involve adept interaction from the user but little or no geometric (photometric) basis. We propose a novel scheme of interactive modeling of free-form lambertian surfaces where the solution obtained is consistent with the shape from shading model. To this end, a reinforcement learning based scheme has been adopted which allows user intervention at any stage of the algorithm to guide the SFS solution to a global minimum.