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首页> 外文期刊>OASIcs : OpenAccess Series in Informatics >Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm
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Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm

机译:基于GPU的多摄像机立体匹配算法的基准测试

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摘要

Stereo matching algorithms and multi camera reconstruction algorithms are usually compared using benchmarks. These benchmarks compare the quality of the resulting depth map or reconstructed surface mesh. We describe the differences between several known stereo and multi-view stereo benchmarks and their various datasets. Also the modifications that are necessary to use our own GPU based multi camera stereo matching algorithm with the data from these benchmarks are discussed.
机译:通常使用基准比较立体声匹配算法和多摄像机重建算法。这些基准用于比较所得深度图或重建的表面网格的质量。我们描述了几种已知的立体声和多视图立体声基准及其各种数据集之间的差异。此外,还讨论了使用我们自己的基于GPU的多相机立体声匹配算法与这些基准测试数据进行必要的修改。

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