3175

Stereo depth with a Unified Architecture GPU

Joel Gibson, Oge Marques
Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2008) Publisher: Ieee, Pages: 1-6

@conference{gibson2008stereo,

   title={Stereo depth with a unified architecture GPU},

   author={Gibson, J. and Marques, O.},

   booktitle={Computer Vision and Pattern Recognition Workshops, 2008. CVPRW’08. IEEE Computer Society Conference on},

   pages={1–6},

   year={2008},

   organization={IEEE}

}

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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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