# TWMM

**Repository Path**: assets01/TWMM

## Basic Information

- **Project Name**: TWMM
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-06-24
- **Last Updated**: 2024-06-24

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Description
This is the official code for the TWMM. TWMM (**T**emplate matching with **W**eights, **M**ultilevel local max-pooling, and **M**ax index backtracking) is a  registration method for UAV thermal infrared and visible images taken by the camera with two sensors. The corresponding paper is [A robust registration method for UAV thermal infrared and visible images taken by dual-cameras](https://www.sciencedirect.com/science/article/pii/S0924271622002271?via%3Dihub).

We have released the full source code. 

# Run
These implementation of methods (SIFT, SURF, ORB, RIFT, RCB, TFeat, HardNet,TWMM) have been released. One can run these methodsas follows:

  `git clone https://github.com/mlxljz/TWMM.git`
  
  `python results_SIFT_SURF_RIFT_SCB_HOPC.py`
  
  The implementation for RIFT and SCB refers to http://www.ivlab.org/publications.html and https://ljy-rs.github.io/web/
  
# Test imgs and Result
The experimental results for different methods are located in this directory：test_img.

The experimental results for different methods are located in this directory：test_img/out.

The subitems in experimental results: homo, matchpoints_img, mosaic, warp_thermal
  
## Contact

This repo is currently maintained by Lingxuan Meng (mlxuan123@163.com).