{"title":"Compression of depth information for 3D rendering","authors":"P. Zanuttigh, G. Cortelazzo","doi":"10.1109/3DTV.2009.5069669","DOIUrl":null,"url":null,"abstract":"This paper presents a novel strategy for the compression of depth maps. The proposed scheme starts with a segmentation step which identifies and extracts edges and main objects, then it introduces an efficient compression strategy for the segmented regions' shape. In the subsequent step a novel algorithm is used to predict the surface shape from the segmented regions and a set of regularly spaced samples. Finally the few prediction residuals are efficiently compressed using standard image compression techniques. Experimental results show that the proposed scheme not only offers a significant gain over JPEG2000 on various types of depth maps but also produces depth maps without edge artifacts particularly suited to 3D warping and free viewpoint video applications.","PeriodicalId":230128,"journal":{"name":"2009 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DTV.2009.5069669","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 47
Abstract
This paper presents a novel strategy for the compression of depth maps. The proposed scheme starts with a segmentation step which identifies and extracts edges and main objects, then it introduces an efficient compression strategy for the segmented regions' shape. In the subsequent step a novel algorithm is used to predict the surface shape from the segmented regions and a set of regularly spaced samples. Finally the few prediction residuals are efficiently compressed using standard image compression techniques. Experimental results show that the proposed scheme not only offers a significant gain over JPEG2000 on various types of depth maps but also produces depth maps without edge artifacts particularly suited to 3D warping and free viewpoint video applications.