Template matching with white balance adjustment under multiple illuminants
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 32 references that are in the map. First posted on arXiv 3 Aug 2022.
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9 of 32 references.
References · 9
- 2019Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regressioncited by 1,361
- 2020Deep White-Balance Editingcited by 54
- 2016Fast Fourier Color Constancycited by 37
- 2019On Finding Gray Pixelscited by 26
- 2021Deep Retinex Network for Estimating Illumination Colors with Self-Supervised Learningcited by 7
- 2021Multi-color balancing for correctly adjusting the intensity of target colorscited by 3
- 2021Multi-color balance for color constancycited by 3
- 2021Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Cameracited by 1
- 2021Spatially varying white balancing for mixed and non-uniform illuminantscited by 1
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