Similarity measures for depth estimation

机译：深度估计的相似度

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This paper deals with similarity measures for stereoscopic depth estimation. These measures are used for matching of image pairs, which is the first step of the estimation process. We analyze influence of these similarity measures on performance of depth estimation with use of commonly known measures and compare the results with some novel proposals. The performance is judged by increase of quality of view synthesis, which is the main aim of this paper. Experimental results over a variety of moving material demonstrate that considerable gain can be attained without any modifications to estimation core and with tuning of matching stage only. Finally, some guidelines on design of well performing similarity measures are given. For the sake of paper, the whole work is described in context of belief-propagation algorithm, but the results and conclusions apply in general for many other state-of-the art optimization techniques.

机译：本文讨论了用于立体深度估计的相似性度量。这些措施用于图像对的匹配，这是估计过程的第一步。我们使用众所周知的措施来分析这些相似性措施对深度估计性能的影响，并将结果与一些新颖的建议进行比较。性能是由视图综合质量的提高来判断的，这是本文的主要目的。在各种运动材料上的实验结果表明，无需对估计核进行任何修改，仅调整匹配级就可以实现可观的增益。最后，给出了设计良好的相似度度量的一些准则。出于论文的目的，整个工作是在置信度传播算法的上下文中进行描述的，但结果和结论通常适用于许多其他最新的优化技术。

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来源
《3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2009》|2009年|1-4|共4页
会议地点 Potsdam(DE);Potsdam(DE)
作者
Wegner K.; Stankiewicz O.;
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Dept. of Multimedia Telecommun. Microelectron., Poznan Univ. of Technol., Poznan;

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image matching; signal synthesis; stereo image processing; three-dimensional television; 3D TV; belief-propagation algorithm; stereoscopic depth estimation; view synthesis; belief propagation; depth map estimation; free-view; similarity measure; television;

机译：图像匹配;信号合成;立体图像处理;三维电视; 3D电视;置信度传播算法;立体深度估计;视图合成;置信度传播;深度图估计;自由视图;相似性度量;电视;

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Similarity measures for depth estimation

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