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Comparison of dense stereo using CUDA

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012) 6554 LNCS(PART 2) 398-410
DOI: 10.1007/978-3-642-35740-4_31
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Abstract

In this paper, a local and a global dense stereo matching method, implemented using Compute Unified Device Architecture (CUDA), are presented, analyzed and compared. The purposed work shows the general strategy of the parallelization of matching methods on GPUs and the tradeoff between accuracy and run-time on current GPU hardware. Two representative and widely-used methods, the Sum of Absolute Differences (SAD) method and the Semi-Global Matching (SGM) method, are used and their results are compared using the Middlebury test sets. © 2012 Springer-Verlag.

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Zhu, K., Butenuth, M., & D’Angelo, P. (2012). Comparison of dense stereo using CUDA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6554 LNCS, pp. 398–410). https://doi.org/10.1007/978-3-642-35740-4_31

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