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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Stereo depth with a Unified Architecture GPU
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Joel Gibson, Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, USA
Oge Marques, Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, USA
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.
Citation:
Joel Gibson, Oge Marques, "Stereo depth with a Unified Architecture GPU," cvprw, pp.1-6, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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