Revisiting gray pixel for statistical illumination estimation

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Yksityiskohdat

Alkuperäiskieli	Englanti
Otsikko	VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Toimittajat	Andreas Kerren, Christophe Hurter, Jose Braz
Kustantaja	SCITEPRESS
Sivut	36-46
Sivumäärä	11
ISBN (elektroninen)	9789897583544
DOI - pysyväislinkit	https://doi.org/10.5220/0007406900360046
Tila	Julkaistu - 2019
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Computer Vision Theory and Applications - Prague, Tshekki Kesto: 25 helmikuuta 2019 → 27 helmikuuta 2019

Conference

Conference	International Conference on Computer Vision Theory and Applications
Maa	Tshekki
Kaupunki	Prague
Ajanjakso	25/02/19 → 27/02/19

Tiivistelmä

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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