Multiple light source dataset for colour research

Anna Smagina; Egor Ershov; Anton Grigoryev

doi:10.1117/12.2559491

31 January 2020 Multiple light source dataset for colour research

Anna Smagina, Egor Ershov, Anton Grigoryev

Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114332C (2020) https://doi.org/10.1117/12.2559491
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands

Abstract

We present a collection of 24 multiple object scenes recorded under 18 multiple light source illumination scenarios each. The illuminants are varying in dominant spectral colours, intensity and distance from the scene. We mainly address the realistic scenarios for evaluation of computational colour constancy algorithms, but also have aimed to make the data as general as possible for computational colour science and computer vision. Along with the images, we provide also spectral characteristics of the camera, light sources, and the objects and include pixel-by-pixel ground truth annotation of uniformly coloured object surfaces. The dataset is freely available at https://github.com/visillect/mls-dataset.

Citation Download Citation

Anna Smagina, Egor Ershov, and Anton Grigoryev "Multiple light source dataset for colour research", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114332C (31 January 2020); https://doi.org/10.1117/12.2559491

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