Chang-Ming Tsai, Wen-Yan Chang, Chu-Song Chen, G. Tang
{"title":"Compression of 3D objects with multistage color-depth panoramic maps","authors":"Chang-Ming Tsai, Wen-Yan Chang, Chu-Song Chen, G. Tang","doi":"10.1109/DCC.2002.1000018","DOIUrl":null,"url":null,"abstract":"Summary form only given. A new representation method, the multistage color-depth panoramic map (or panomap), is proposed for compressing 3D graphic objects. The idea of the proposed method is to transform a 3D graphic object, including both the shape and color information, into a single image. Existing image compression techniques can then be applied for compressing the panomap structure, which can achieve a highly efficient representation due to its regularity. In our experiments, compressing the color part of a CMP with a lossy method (JPEG) and the depth part with a lossless one (PNG) achieves good reconstruction quality with low bit rates.","PeriodicalId":420897,"journal":{"name":"Proceedings DCC 2002. Data Compression Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings DCC 2002. Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2002.1000018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Summary form only given. A new representation method, the multistage color-depth panoramic map (or panomap), is proposed for compressing 3D graphic objects. The idea of the proposed method is to transform a 3D graphic object, including both the shape and color information, into a single image. Existing image compression techniques can then be applied for compressing the panomap structure, which can achieve a highly efficient representation due to its regularity. In our experiments, compressing the color part of a CMP with a lossy method (JPEG) and the depth part with a lossless one (PNG) achieves good reconstruction quality with low bit rates.