立体深度与统一架构GPU

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Pub Date : 2008-06-23 DOI:10.1109/CVPRW.2008.4563092

Joel Gibson, Oge Marques

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引用次数: 51

摘要

本文描述了如何利用GPU加速立体图像的深度计算。采用NVIDIA的计算统一设备架构(CUDA)，采用BT代价匹配和半全局匹配算法进行深度计算。考虑了将顺序算法映射到大规模并行线程环境和性能优化技术的挑战。

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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Stereo depth with a Unified Architecture GPU

This paper describes how the calculation of depth from stereo images was accelerated using a GPU. The Compute Unified Device Architecture (CUDA) from NVIDIA was employed in novel ways to compute depth using BT cost matching and the semi-global matching algorithm. The challenges of mapping a sequential algorithm to a massively parallel thread environment and performance optimization techniques are considered.

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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

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