# Template matching with white balance adjustment under multiple illuminants

arXiv: https://arxiv.org/abs/2208.02035 · HTML: https://mlsanity.com/paper/2208.02035/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 9 of its 32 references that are in the map.
- First posted on arXiv 3 Aug 2022.

## Builds on (most cited first, 9 of 9)

- [Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression](https://mlsanity.com/paper/1902.09630/) (2019)
- [Deep White-Balance Editing](https://mlsanity.com/paper/2004.01354/) (2020)
- [Fast Fourier Color Constancy](https://mlsanity.com/paper/1611.07596/) (2016)
- [On Finding Gray Pixels](https://mlsanity.com/paper/1901.03198/) (2019)
- [Deep Retinex Network for Estimating Illumination Colors with Self-Supervised Learning](https://mlsanity.com/paper/2102.04003/) (2021)
- [Multi-color balancing for correctly adjusting the intensity of target colors](https://mlsanity.com/paper/2102.01893/) (2021)
- [Multi-color balance for color constancy](https://mlsanity.com/paper/2105.10228/) (2021)
- [Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera](https://mlsanity.com/paper/2106.01861/) (2021)
- [Spatially varying white balancing for mixed and non-uniform illuminants](https://mlsanity.com/paper/2109.01350/) (2021)

## 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.