Comparison of dense stereo using CUDA

Authors:
Ke Zhu;Matthias Butenuth;Pablo d'Angelo
Affiliations:
Remote Sensing Technology, Technische Universit;Active Safety and Driver Assistance, IAV GmbH, Germany;Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany
Venue:
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
Year:
2010

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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.