Color Homography Color Correction

Graham D. Finlayson, Han Gong, Robert Fisher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Homographies – a mathematical formalism for relating image points across different camera viewpoints – are at the foundations of geometric methods in computer vision and are used in geometric camera calibration, image registration, and stereo vision and other tasks. In this paper, we show the surprising result that colors across a change in viewing condition (changing light color, shading and camera) are also related by a homography. We propose a new color correction method based on color homography. Experiments demonstrate that solving the color homography problem leads to more accurate calibration.
Original languageEnglish
Title of host publication24th Color and Imaging Conference
PublisherSociety for Imaging Sciences and Technology
Pages310-314
Number of pages5
DOIs
Publication statusPublished - 7 Nov 2016
Event24th Color and Imaging Conference - San Diego, United States
Duration: 7 Nov 201611 Nov 2016
http://www.imaging.org/site/IST/Conferences/Color_and_Imaging/CIC24__2016_/IST/Conferences/CIC/CIC2016/CIC_24_Home.aspx?hkey=720a1d72-bf44-4101-b367-d390d3f89feb

Publication series

NameColor and Imaging Conference
PublisherSociety for Imaging Science and Technology
ISSN (Print)2166-9635
ISSN (Electronic)2169-2629

Conference

Conference24th Color and Imaging Conference
Abbreviated titleCIC 24
Country/TerritoryUnited States
CitySan Diego
Period7/11/1611/11/16
Internet address

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