3D reconstruction of mirror-like surfaces by smart deflectometry

Lisa Poirier-Herbeck; Olivier Aubreton; David Fofi

doi:10.1117/12.2589165

16 July 2021 3D reconstruction of mirror-like surfaces by smart deflectometry

Lisa Poirier-Herbeck, Olivier Aubreton, David Fofi

Proceedings Volume 11794, Fifteenth International Conference on Quality Control by Artificial Vision; 117940D (2021) https://doi.org/10.1117/12.2589165
Event: Fifteenth International Conference on Quality Control by Artificial Vision, 2021, Tokushima, Japan

Abstract

Specular and mirror-like surfaces are difficult to reconstruct by the fact that light of the surrounding environment is reflected off the surface. Nowadays, it is still a challenge in many application fields to get a fast and accurate reconstruction of specular objects. 3D acquisition by deflectometry involves estimating the 3D profile of a specular surface by analyzing the image of a light source or a pattern captured by a camera after reflection on the surface. These techniques require the knowledge of the location and the orientation of the camera and the orientation of the light source. If camera calibration is a process widely known and controlled and guaranteeing good accuracy, estimating the orientation of the light source is still an issue. We propose to overcome it by using a light source whose the color changes according to the orientation. Indeed, we implement a vision system of light source’s position recognition by the color in simulation with the 3D computer graphics software Blender, we define a calibration technique and we suggest some possible light sources to export our simulated vision system to reality. Plus, we explore the potential benefit of light field in order to model such a system.

Citation Download Citation

Lisa Poirier-Herbeck, Olivier Aubreton, and David Fofi "3D reconstruction of mirror-like surfaces by smart deflectometry", Proc. SPIE 11794, Fifteenth International Conference on Quality Control by Artificial Vision, 117940D (16 July 2021); https://doi.org/10.1117/12.2589165

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KEYWORDS

3D modeling

Deflectometry

Light sources

3D acquisition

Cameras

3D vision

Calibration

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