ML Anthology

Intel(R) RealSense(TM) Stereoscopic Depth Cameras

Leonid Keselman, John Iselin Woodfill, Anders Grunnet-Jepsen, Achintya Bhowmik
CVPRW 2017 pp. 1267-1276
doi:10.1109/CVPRW.2017.167 /cvprw/2017/keselman2017cvprw-intel/

Abstract

We present a comprehensive overview of the stereoscopic Intel RealSense RGBD imaging systems. We discuss these systems' mode-of-operation, functional behavior and include models of their expected performance, shortcomings, and limitations. We provide information about the systems' optical characteristics, their correlation algorithms, and how these properties can affect different applications, including 3D reconstruction and gesture recognition. Our discussion covers the Intel RealSense R200 and RS400.

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Cite

Text

Keselman et al. "Intel(R) RealSense(TM) Stereoscopic Depth Cameras." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017. doi:10.1109/CVPRW.2017.167

Markdown

[Keselman et al. "Intel(R) RealSense(TM) Stereoscopic Depth Cameras." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2017.](https://mlanthology.org/cvprw/2017/keselman2017cvprw-intel/) doi:10.1109/CVPRW.2017.167

BibTeX

@inproceedings{keselman2017cvprw-intel,
  title     = {{Intel(R) RealSense(TM) Stereoscopic Depth Cameras}},
  author    = {Keselman, Leonid and Woodfill, John Iselin and Grunnet-Jepsen, Anders and Bhowmik, Achintya},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2017},
  pages     = {1267-1276},
  doi       = {10.1109/CVPRW.2017.167},
  url       = {https://mlanthology.org/cvprw/2017/keselman2017cvprw-intel/}
}