Revisiting Gray Pixel for Statistical Illumination Estimation

Yanlin Qian, Said Pertuz, Jarno Nikkanen, Joni-Kristian Kämäräinen, Jiri Matas

Abstract

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.

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Paper Citation


in Harvard Style

Qian Y., Pertuz S., Nikkanen J., Kämäräinen J. and Matas J. (2019). Revisiting Gray Pixel for Statistical Illumination Estimation.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-354-4, pages 36-46. DOI: 10.5220/0007406900360046


in Bibtex Style

@conference{visapp19,
author={Yanlin Qian and Said Pertuz and Jarno Nikkanen and Joni-Kristian Kämäräinen and Jiri Matas},
title={Revisiting Gray Pixel for Statistical Illumination Estimation},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2019},
pages={36-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007406900360046},
isbn={978-989-758-354-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Revisiting Gray Pixel for Statistical Illumination Estimation
SN - 978-989-758-354-4
AU - Qian Y.
AU - Pertuz S.
AU - Nikkanen J.
AU - Kämäräinen J.
AU - Matas J.
PY - 2019
SP - 36
EP - 46
DO - 10.5220/0007406900360046