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基于图像域变形的自动视图合成。

Automatic view synthesis by image-domain-warping.

机构信息

Disney Research Zurich, Walt Disney Company GmbH, Zurich 8004, Switzerland.

出版信息

IEEE Trans Image Process. 2013 Sep;22(9):3329-41. doi: 10.1109/TIP.2013.2264817. Epub 2013 May 23.

DOI:10.1109/TIP.2013.2264817
PMID:23715602
Abstract

Today, stereoscopic 3D (S3D) cinema is already mainstream, and almost all new display devices for the home support S3D content. S3D distribution infrastructure to the home is already established partly in the form of 3D Blu-ray discs, video on demand services, or television channels. The necessity to wear glasses is, however, often considered as an obstacle, which hinders broader acceptance of this technology in the home. Multiviewautostereoscopic displays enable a glasses free perception of S3D content for several observers simultaneously, and support head motion parallax in a limited range. To support multiviewautostereoscopic displays in an already established S3D distribution infrastructure, a synthesis of new views from S3D video is needed. In this paper, a view synthesis method based on image-domain-warping (IDW) is presented that automatically synthesizes new views directly from S3D video and functions completely. IDW relies on an automatic and robust estimation of sparse disparities and image saliency information, and enforces target disparities in synthesized images using an image warping framework. Two configurations of the view synthesizer in the scope of a transmission and view synthesis framework are analyzed and evaluated. A transmission and view synthesis system that uses IDW is recently submitted to MPEG's call for proposals on 3D video technology, where it is ranked among the four best performing proposals.

摘要

如今,立体 3D(S3D)电影已经成为主流,几乎所有新的家庭显示设备都支持 S3D 内容。S3D 家庭分发基础设施部分以 3D 蓝光光盘、视频点播服务或电视频道的形式建立。然而,戴眼镜的必要性通常被认为是一个障碍,阻碍了这项技术在家庭中的更广泛应用。多视点自动立体显示技术使多个观察者能够同时无需戴眼镜观看 S3D 内容,并在有限范围内支持头部运动视差。为了在现有的 S3D 分发基础设施中支持多视点自动立体显示,需要从 S3D 视频中合成新的视图。在本文中,提出了一种基于图像域变形(IDW)的视图合成方法,该方法可以直接从 S3D 视频中自动合成新视图,并完全正常运行。IDW 依赖于稀疏视差和图像显著度信息的自动和稳健估计,并使用图像变形框架在合成图像中强制目标视差。在传输和视图合成框架的范围内,分析和评估了两种视图合成器的配置。一个使用 IDW 的传输和视图合成系统最近提交给 MPEG 关于 3D 视频技术的提案征集,在该征集活动中,它被列为表现最好的四个提案之一。

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