Color Homography Color Correction

Graham D. Finlayson, Han Gong, Robert B. Fisher

Research output: Contribution to conferencePaperpeer-review

10 Citations (Scopus)
19 Downloads (Pure)


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
Publication statusPublished - 2016
EventColor Imaging Conference (Society for Imaging Science & Technology) - San Diego, United States
Duration: 7 Nov 201611 Nov 2016


ConferenceColor Imaging Conference (Society for Imaging Science & Technology)
Country/TerritoryUnited States
CitySan Diego

Cite this