Template matching with white balance adjustment under multiple illuminants
This addresses object detection challenges in computer vision for applications like robotics or surveillance under diverse lighting, but it appears incremental as it builds on existing white balancing and template matching techniques.
The paper tackles the problem of template matching under varying lighting conditions by introducing N-white balancing for multi-illuminant scenes, resulting in improved object detection effectiveness as demonstrated in experiments.
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.