Template matching with white balance adjustment under multiple illuminants
Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya

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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsColor Science and Applications · Image Enhancement Techniques · Advanced Vision and Imaging
