基于CUDA动态规划的实时密集立体匹配

Spanish Computer Graphics Conference Pub Date : 1900-01-01 DOI:10.2312/LocalChapterEvents/CEIG/CEIG09/231-234

John Congote, Javier Barandiarán, I. Barandiaran, O. Ruiz

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引用次数: 27

摘要

立体图像的实时深度提取是计算机视觉中的一个重要过程。本文提出了一种动态规划算法的新实现，该算法使用CUDA架构计算密集深度图，在消费类显卡上实现实时性能。我们比较了该算法与CPU实现的运行时间，并通过在不同显卡上的测试来证明该算法的可扩展性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Realtime Dense Stereo Matching with Dynamic Programming in CUDA

Real-time depth extraction from stereo images is an important process in computer vision. This paper proposes a new implementation of the dynamic programming algorithm to calculate dense depth maps using the CUDA architecture achieving real-time performance with consumer graphics cards. We compare the running time of the algorithm against CPU implementation and demonstrate the scalability property of the algorithm by testing it on different graphics cards.

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Spanish Computer Graphics Conference

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