ML Anthology

Stereo Depth with a Unified Architecture GPU

Joel Gibson, Oge Marques
CVPRW 2008 pp. 1-6
doi:10.1109/CVPRW.2008.4563092 /cvprw/2008/gibson2008cvprw-stereo/

Abstract

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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Cite

Text

Gibson and Marques. "Stereo Depth with a Unified Architecture GPU." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563092

Markdown

[Gibson and Marques. "Stereo Depth with a Unified Architecture GPU." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/gibson2008cvprw-stereo/) doi:10.1109/CVPRW.2008.4563092

BibTeX

@inproceedings{gibson2008cvprw-stereo,
  title     = {{Stereo Depth with a Unified Architecture GPU}},
  author    = {Gibson, Joel and Marques, Oge},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-6},
  doi       = {10.1109/CVPRW.2008.4563092},
  url       = {https://mlanthology.org/cvprw/2008/gibson2008cvprw-stereo/}
}