Neural detection of spheres in images for lighting calibration

Laurent Fainsin; Jean Mélou; Lilian Calvet; Axel Carlier; Jean-Denis Durou

doi:10.1117/12.3000202

28 July 2023 Neural detection of spheres in images for lighting calibration

Laurent Fainsin, Jean Mélou, Lilian Calvet, Axel Carlier, Jean-Denis Durou

Proceedings Volume 12749, Sixteenth International Conference on Quality Control by Artificial Vision; 1274916 (2023) https://doi.org/10.1117/12.3000202
Event: Sixteenth International Conference on Quality Control by Artificial Vision, 2023, Albi, France

Abstract

Accurate detection of spheres in images holds significant value for photometric 3D vision techniques such as photometric stereo.1 These techniques require precise calibration of lighting, and sphere detection can help in the calibration process. Our proposed approach involves training neural networks to automatically detect spheres of three different material classes: matte, shiny and chrome. We get fast and accurate segmentation of spheres in images, outperforming manual segmentation in terms of speed while maintaining comparable accuracy.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Laurent Fainsin, Jean Mélou, Lilian Calvet, Axel Carlier, and Jean-Denis Durou "Neural detection of spheres in images for lighting calibration", Proc. SPIE 12749, Sixteenth International Conference on Quality Control by Artificial Vision, 1274916 (28 July 2023); https://doi.org/10.1117/12.3000202

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