Improving laser triangulation sensors using polarization

J. Clark, E. Trucco, H. F. Cheung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationIEEE International Conference on Computer Vision
Subtitle of host publicationProceedings of the 5th International Conference on Computer Vision; Cambridge, MA, USA; ; 20 June 1995 through 23 June 1995
Pages981-986
Number of pages6
Publication statusPublished - 1995
EventProceedings of the 5th International Conference on Computer Vision - Cambridge, MA, USA
Duration: 20 Jun 199523 Jun 1995

Conference

ConferenceProceedings of the 5th International Conference on Computer Vision
CityCambridge, MA, USA
Period20/06/9523/06/95

Fingerprint

triangulation
sensors
polarization
lasers
rangefinding
inspection
manufacturing
metals

Cite this

Clark, J., Trucco, E., & Cheung, H. F. (1995). Improving laser triangulation sensors using polarization. In IEEE International Conference on Computer Vision: Proceedings of the 5th International Conference on Computer Vision; Cambridge, MA, USA; ; 20 June 1995 through 23 June 1995 (pp. 981-986)
Clark, J. ; Trucco, E. ; Cheung, H. F. / Improving laser triangulation sensors using polarization. IEEE International Conference on Computer Vision: Proceedings of the 5th International Conference on Computer Vision; Cambridge, MA, USA; ; 20 June 1995 through 23 June 1995. 1995. pp. 981-986
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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.",
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Clark, J, Trucco, E & Cheung, HF 1995, Improving laser triangulation sensors using polarization. in IEEE International Conference on Computer Vision: Proceedings of the 5th International Conference on Computer Vision; Cambridge, MA, USA; ; 20 June 1995 through 23 June 1995. pp. 981-986, Proceedings of the 5th International Conference on Computer Vision, Cambridge, MA, USA, 20/06/95.

Improving laser triangulation sensors using polarization. / Clark, J.; Trucco, E.; Cheung, H. F.

IEEE International Conference on Computer Vision: Proceedings of the 5th International Conference on Computer Vision; Cambridge, MA, USA; ; 20 June 1995 through 23 June 1995. 1995. p. 981-986.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Clark J, Trucco E, Cheung HF. Improving laser triangulation sensors using polarization. In IEEE International Conference on Computer Vision: Proceedings of the 5th International Conference on Computer Vision; Cambridge, MA, USA; ; 20 June 1995 through 23 June 1995. 1995. p. 981-986