Template matching with white balance adjustment under multiple illuminants

TL;DR

This paper introduces a new template matching approach that incorporates N-white balancing to handle multi-illuminant scenes, improving object detection under diverse lighting conditions.

Contribution

The paper presents a novel white balancing adjustment method for multi-illuminant scenes, enhancing template matching accuracy in complex lighting environments.

Findings

Effective object detection under various illumination conditions

Improved robustness of template matching with N-white balancing

Demonstrated superiority over traditional methods in experiments

Abstract

In this paper, we propose a novel template matching method with a white balancing adjustment, called N-white balancing, which was proposed for multi-illuminant scenes. To reduce the influence of lighting effects, N-white balancing is applied to images for multi-illumination color constancy, and then a template matching method is carried out by using adjusted images. In experiments, the effectiveness of the proposed method is demonstrated to be effective in object detection tasks under various illumination conditions.