Color measurement system based on convergent binocular stereo vision

Donghui Li; Guihua Cui; Zheng Zhao; Qifan Chen

doi:10.1117/12.2660986

2 February 2023 Color measurement system based on convergent binocular stereo vision

Donghui Li, Guihua Cui, Zheng Zhao, Qifan Chen

Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124621M (2023) https://doi.org/10.1117/12.2660986
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China

Abstract

Aiming at the problems of single camera color measuring system, a method of 3D object color measurement based on convergent binocular stereo vision is proposed. By taking a pair of 2D images, an 3D image is reconstructed in a 3D point cloud model, in which color of each point is restored by fusing colors of corresponding point of 2D images. Based on color charts with 240 and 24 colors, a distinctive 11-term polynomial is trained to convert colors from image RGB to CIELAB. An experiment was conducted to test the proposed method. The results show that the color prediction accuracy for the proposed model was good enough.

Citation Download Citation

Donghui Li, Guihua Cui, Zheng Zhao, and Qifan Chen "Color measurement system based on convergent binocular stereo vision", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124621M (2 February 2023); https://doi.org/10.1117/12.2660986

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