Ségolène Rogge, Daniele Bonatto, Jaime Sancho, R. Salvador, E. Juárez, A. Munteanu, G. Lafruit
{"title":"MPEG-I深度估计参考软件","authors":"Ségolène Rogge, Daniele Bonatto, Jaime Sancho, R. Salvador, E. Juárez, A. Munteanu, G. Lafruit","doi":"10.1109/IC3D48390.2019.8975995","DOIUrl":null,"url":null,"abstract":"For enabling virtual reality on natural content, Depth Image-Based Rendering (DIBR) techniques have been steadily developed over the past decade, but their quality highly depends on that of the depth estimation. This paper is an attempt to deliver good-quality Depth Estimation Reference Software (DERS) that is well-structured for further use in the worldwide MPEG standardization committee.The existing DERS has been refactored, debugged and extended to any number of input views for generating accurate depth maps. Their quality has been validated by synthesizing DIBR virtual views with the Reference View Synthesizer (RVS) and the Versatile View Synthesizer (VVS), using the available MPEG test sequences. Resulting images and runtimes are reported.","PeriodicalId":344706,"journal":{"name":"2019 International Conference on 3D Immersion (IC3D)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"MPEG-I Depth Estimation Reference Software\",\"authors\":\"Ségolène Rogge, Daniele Bonatto, Jaime Sancho, R. Salvador, E. Juárez, A. Munteanu, G. Lafruit\",\"doi\":\"10.1109/IC3D48390.2019.8975995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For enabling virtual reality on natural content, Depth Image-Based Rendering (DIBR) techniques have been steadily developed over the past decade, but their quality highly depends on that of the depth estimation. This paper is an attempt to deliver good-quality Depth Estimation Reference Software (DERS) that is well-structured for further use in the worldwide MPEG standardization committee.The existing DERS has been refactored, debugged and extended to any number of input views for generating accurate depth maps. Their quality has been validated by synthesizing DIBR virtual views with the Reference View Synthesizer (RVS) and the Versatile View Synthesizer (VVS), using the available MPEG test sequences. Resulting images and runtimes are reported.\",\"PeriodicalId\":344706,\"journal\":{\"name\":\"2019 International Conference on 3D Immersion (IC3D)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on 3D Immersion (IC3D)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC3D48390.2019.8975995\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on 3D Immersion (IC3D)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC3D48390.2019.8975995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
For enabling virtual reality on natural content, Depth Image-Based Rendering (DIBR) techniques have been steadily developed over the past decade, but their quality highly depends on that of the depth estimation. This paper is an attempt to deliver good-quality Depth Estimation Reference Software (DERS) that is well-structured for further use in the worldwide MPEG standardization committee.The existing DERS has been refactored, debugged and extended to any number of input views for generating accurate depth maps. Their quality has been validated by synthesizing DIBR virtual views with the Reference View Synthesizer (RVS) and the Versatile View Synthesizer (VVS), using the available MPEG test sequences. Resulting images and runtimes are reported.