ML Anthology

Improving Laser Triangulation Sensors Using Polarization

James Clark, Emanuele Trucco, H.-F. Cheung
ICCV 1995 pp. 981-986
doi:10.1109/ICCV.1995.466827 /iccv/1995/clark1995iccv-improving/

Abstract

We report a novel application of polarization based vision addressing the robustness of laser triangulation range sensors. Such sensors are based on the accurate detection of a pattern of laser light projected onto a scene, usually a point or line. Typical problems arise with highly specularly reflective surfaces, which can generate visible reflections of the light in various parts of the image. This can confuse the detection algorithms and lead to wrong range measurements. This paper demonstrates experimentally the feasibility of polarization based vision for disambiguating multiple specular inter reflections of the laser light. We concentrate on metal components as they have high interest for inspection in manufacturing, and show positive results with situations of various complexities.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

ICCV Semantic Scholar

Cite

Text

Clark et al. "Improving Laser Triangulation Sensors Using Polarization." IEEE/CVF International Conference on Computer Vision, 1995. doi:10.1109/ICCV.1995.466827

Markdown

[Clark et al. "Improving Laser Triangulation Sensors Using Polarization." IEEE/CVF International Conference on Computer Vision, 1995.](https://mlanthology.org/iccv/1995/clark1995iccv-improving/) doi:10.1109/ICCV.1995.466827

BibTeX

@inproceedings{clark1995iccv-improving,
  title     = {{Improving Laser Triangulation Sensors Using Polarization}},
  author    = {Clark, James and Trucco, Emanuele and Cheung, H.-F.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1995},
  pages     = {981-986},
  doi       = {10.1109/ICCV.1995.466827},
  url       = {https://mlanthology.org/iccv/1995/clark1995iccv-improving/}
}