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Revisiting gray pixel for statistical illumination estimation

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publicationVISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
EditorsAndreas Kerren, Christophe Hurter, Jose Braz
Number of pages11
ISBN (Electronic)9789897583544
Publication statusPublished - 2019
Publication typeA4 Article in a conference publication
EventInternational Conference on Computer Vision Theory and Applications - Prague, Czech Republic
Duration: 25 Feb 201927 Feb 2019


ConferenceInternational Conference on Computer Vision Theory and Applications
CountryCzech Republic


We present a statistical color constancy method that relies on novel gray pixel detection and mean shift clustering. The method, called Mean Shifted Grey Pixel – MSGP, is based on the observation: true-gray pixels are aligned towards one single direction. Our solution is compact, easy to compute and requires no training. Experiments on two real-world benchmarks show that the proposed approach outperforms state-of-the-art methods in the camera-agnostic scenario. In the setting where the camera is known, MSGP outperforms all statistical methods.


  • Color Constancy, Gray Pixel, Illumination Estimation

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Field of science, Statistics Finland

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