# A Simple Mutual Information based Registration Method for Thermal-Optical Image Pairs applied on a Novel Dataset

arXiv: https://arxiv.org/abs/2101.06910 · HTML: https://mlsanity.com/paper/2101.06910/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 11 references that are in the map.
- First posted on arXiv 18 Jan 2021.

## Builds on (most cited first, 1 of 1)

- [Thermal Infrared Colorization via Conditional Generative Adversarial Network](https://mlsanity.com/paper/1810.05399/) (2018)

## Abstract (arXiv)

While thermal optical registered datasets are becoming widely available, most of these works are based on image pairs which are pre-registered. However, thermal imagers where these images are registered by default are quite expensive. We present in this work, a thermal image registration technique which is computationally lightweight, and can be employed regardless of the resolution of the images captured. We use 2 different thermal imagers to create a completely new database and introduce it as a part of this work as well. The images captured are based on 5 different classes and encompass subjects like the Prayagraj Kumbh Mela, one of the largest public fairs in the world, captured over a period of 2 years.