{"title":"点云的多尺度表面表示和渲染","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":"{\"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}","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}
Multiscale surface representation and rendering for point clouds
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.