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首页> 外文会议>Stereoscopic Displays and Virtual Reality Systems XIV; Proceedings of SPIE-The International Society for Optical Engineering; vol.6490; Electronic Imaging Science and Technology >View generation for 3D-TV using image reconstruction from irregularly spaced samples
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View generation for 3D-TV using image reconstruction from irregularly spaced samples

机译：使用来自不规则间距样本的图像重建为3D-TV生成视图

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摘要

Three-dimensional television (3D-TV) will become the next big step in the development of advanced TV systems. One of the major challenges for the deployment of 3D-TV systems is the diversity of display technologies and the high cost of capturing multi-view content. Depth image-based rendering (DIBR) has been identified as a key technology for the generation of new views for stereoscopic and multi-view displays from a small number of views captured and transmitted. We propose a disparity compensation method for DIBR that does not require spatial interpolation of the disparity map. We use a forward-mapping disparity compensation with real precision. The proposed method deals with the irregularly sampled image resulting from this disparity compensation process by applying a re-sampling algorithm based on a bi-cubic spline function space that produces smooth images. The fact that no approximation is made on the position of the samples implies that geometrical distortions in the final images due to approximations in sample positions are minimized. We also paid attention to the occlusion problem. Our algorithm detects the occluded regions in the newly generated images and uses simple depth-aware inpainting techniques to fill the gaps created by newly exposed areas. We tested the proposed method in the context of generation of views needed for viewing on SynthaGram~TM auto-stereoscopic displays. We used as input either a 2D image plus a depth map or a stereoscopic pair with the associated disparity map. Our results show that this technique provides high quality images to be viewed on different display technologies such as stereoscopic viewing with shutter glasses (two views) and lenticular auto-stereoscopic displays (nine views).
机译：三维电视（3D-TV）将成为高级电视系统发展的下一步。部署3D-TV系统的主要挑战之一是显示技术的多样性和捕获多视图内容的高昂成本。基于深度图像的渲染（DIBR）已被认为是从捕获和传输的少量视图中生成用于立体和多视图显示的新视图的关键技术。我们提出了一种DIBR视差补偿方法，该方法不需要视差图的空间插值。我们使用具有真实精度的前向视差补偿。所提出的方法通过应用基于产生平滑图像的双三次样条函数空间的重采样算法来处理由这种视差补偿过程产生的不规则采样图像。没有对样本的位置进行近似的事实意味着由于样本位置的近似而导致的最终图像中的几何变形被最小化。我们还关注了遮挡问题。我们的算法检测新生成图像中的遮挡区域，并使用简单的深度感知修补技术来填补新曝光区域所产生的间隙。我们在生成SynthaGramTM自动立体显示器所需的视图的上下文中测试了该方法。我们将2D图像加上深度图或具有相关视差图的立体对用作输入。我们的结果表明，该技术可提供高质量的图像，可在不同的显示技术上观看，例如使用快门眼镜的立体观看（两个视图）和双凸透镜自动立体显示器（九个视图）。

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