Color Homography Color Correction

TL;DR

This paper introduces a novel approach to color correction using homographies, revealing that color changes under different viewing conditions can be modeled with homographies, leading to improved calibration accuracy.

Contribution

The paper demonstrates that color variations across different viewing conditions can be modeled with homographies and proposes a new color correction method based on this insight.

Findings

Color changes across viewing conditions are related by a homography.

The proposed method improves calibration accuracy.

Experiments validate the effectiveness of color homography.

Abstract

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.