Local surface orientation analysis based on reflection estimation

Qinglin Lu; Olivier Laligant; Eric Fauvet; Anatasia Zakharova

doi:10.1117/12.2182795

30 April 2015 Local surface orientation analysis based on reflection estimation

Qinglin Lu, Olivier Laligant, Eric Fauvet, Anatasia Zakharova

Proceedings Volume 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015; 95340K (2015) https://doi.org/10.1117/12.2182795
Event: The International Conference on Quality Control by Artificial Vision 2015, 2015, Le Creusot, France

Abstract

In this paper, we propose a novel reflection based method to estimate the local orientation of a specular surface. For a calibrated scene with a fixed light band, the band is reflected by the surface to the image plane of a camera. Then the local geometry between the surface and reflected band is estimated. Firstly, in order to find the relationship relying the object position, the object surface orientation and the band reflection, we study the fundamental theory of the geometry between a specular mirror surface and a band source. Then we extend our approach to the spherical surface with arbitrary curvature. Experiments are conducted with mirror surface and spherical surface. Results show that our method is able to obtain the local surface orientation merely by measuring the displacement and the form of the reflection.

Citation Download Citation

Qinglin Lu, Olivier Laligant, Eric Fauvet, and Anatasia Zakharova "Local surface orientation analysis based on reflection estimation", Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 95340K (30 April 2015); https://doi.org/10.1117/12.2182795

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