Revisiting gray pixel for statistical illumination estimation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00337829" target="_blank" >RIV/68407700:21230/19:00337829 - isvavai.cz</a>

Result on the web

<a href="http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007406900360046" target="_blank" >http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007406900360046</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0007406900360046" target="_blank" >10.5220/0007406900360046</a>

Result language

angličtina

Original language name

Revisiting gray pixel for statistical illumination estimation

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

VISAPP2019: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Volume 5

ISBN

978-989-758-354-4

ISSN

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e-ISSN

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Number of pages

11

Pages from-to

36-46

Publisher name

SciTePress - Science and Technology Publications

Place of publication

Porto

Event location

Praha

Event date

Feb 25, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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