{"title":"Registration of depth and video data in depth image based rendering","authors":"M. Fieseler, Xiaoyi Jiang","doi":"10.1109/3DTV.2009.5069677","DOIUrl":null,"url":null,"abstract":"Depth image based rendering (DIBR) has been proposed to create content for 3D-TV. In DIBR stereoscopic images are created from monoscopic images and associated depth data. Techniques deducing depth information from available video content have been applied to process video data lacking associated depth data for DIBR. Yet, artificial as well as recorded depth data may contain misalignments with respect to the video data. Misaligned depth data is a source of artifacts observable in the rendered 3D view. We show that by using an edge based registration method the spatial alignment of depth and video data can be improved, leading to an alleviation of the observed artifacts.","PeriodicalId":230128,"journal":{"name":"2009 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","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.2009.5069677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Depth image based rendering (DIBR) has been proposed to create content for 3D-TV. In DIBR stereoscopic images are created from monoscopic images and associated depth data. Techniques deducing depth information from available video content have been applied to process video data lacking associated depth data for DIBR. Yet, artificial as well as recorded depth data may contain misalignments with respect to the video data. Misaligned depth data is a source of artifacts observable in the rendered 3D view. We show that by using an edge based registration method the spatial alignment of depth and video data can be improved, leading to an alleviation of the observed artifacts.
基于深度图像的渲染(deep image based rendering, DIBR)被提出用于3d电视内容的生成。在DIBR中,立体图像是由单视角图像和相关深度数据创建的。从现有视频内容中推断深度信息的技术已被应用于处理缺乏相关深度数据的视频数据。然而,人工和记录的深度数据可能包含与视频数据相关的错位。不对齐的深度数据是渲染3D视图中可观察到的工件的来源。我们表明,通过使用基于边缘的配准方法,可以改善深度和视频数据的空间对齐,从而减轻观察到的伪影。