Color Homography Color Correction
This addresses color consistency issues in computer vision for applications like image processing and camera calibration, but it appears incremental as it extends an existing geometric concept to a new domain.
The authors tackled the problem of color correction across varying viewing conditions by proposing a new method based on color homography, which they show relates colors through a mathematical formalism, leading to more accurate calibration in experiments.
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.