{"title":"Multiscale surface representation and rendering for point clouds","authors":"Sang-Btan Park, Sang Uk Lee, Hyeokho Choi","doi":"10.1109/ICIP.2004.1421459","DOIUrl":null,"url":null,"abstract":"We introduce a new multiscale geometry representation based on tree-structured piecewise plane approximation of 3-D surface geometry. Dyadic division and piano approximation of points within each dyadic cube result in a tree-structured multiscale representation of the 3-D surface described by point cloud data. We then perform a complexity-regularized tree pruning to obtain a compact representation of the surface geometry. Based on its adaptivity and multiscale structure, the proposed representation scheme provides a desirable framework for efficient geometry modelling, fast processing, and geometry coding. We apply the proposed geometry models to point cloud rendering to demonstrate supremacy of our efficient geometry representation.","PeriodicalId":184798,"journal":{"name":"2004 International Conference on Image Processing, 2004. ICIP '04.","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 International Conference on Image Processing, 2004. ICIP '04.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2004.1421459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
We introduce a new multiscale geometry representation based on tree-structured piecewise plane approximation of 3-D surface geometry. Dyadic division and piano approximation of points within each dyadic cube result in a tree-structured multiscale representation of the 3-D surface described by point cloud data. We then perform a complexity-regularized tree pruning to obtain a compact representation of the surface geometry. Based on its adaptivity and multiscale structure, the proposed representation scheme provides a desirable framework for efficient geometry modelling, fast processing, and geometry coding. We apply the proposed geometry models to point cloud rendering to demonstrate supremacy of our efficient geometry representation.