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Automatic View Synthesis by Image-Domain-Warping

机译:通过图像域变形自动合成视图

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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.
机译:如今,立体3D(S3D)电影院已经成为主流,几乎所有用于家庭的新型显示设备都支持S3D内容。到家庭的S3D分发基础设施已经部分以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,这阻碍了该技术在家庭中的广泛接受。多视图自动立体显示器可让多个观察者同时无眼镜感知S3D内容,并在有限范围内支持头部运动视差。为了在已经建立的S3D分发基础结构中支持多视图自动立体显示,需要对S3D视频中的新视图进行综合。本文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发挥作用。 IDW依赖于对稀疏视差和图像显着性信息的自动且可靠的估计,并使用图像扭曲框架在合成图像中强制执行目标视差。在传输和视图合成框架的范围内,对视图合成器的两种配置进行了分析和评估。最近,使用IDW的传输和视图综合系统已提交给MPEG关于3D视频技术的提案征集,该系统在这四个提案中名列前茅。

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