https://github.com/WanWin04/Image-Stitching
Survey of Image Stitching and its application in multi-perspective image stitching
https://github.com/WanWin04/Image-Stitching
computer-vision deep-learning homography image-stitching parallax sift-features
Last synced: 8 months ago
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Survey of Image Stitching and its application in multi-perspective image stitching
- Host: GitHub
- URL: https://github.com/WanWin04/Image-Stitching
- Owner: WanWin04
- Created: 2024-10-17T02:27:02.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-27T15:05:41.000Z (over 1 year ago)
- Last Synced: 2024-12-27T15:19:00.450Z (over 1 year ago)
- Topics: computer-vision, deep-learning, homography, image-stitching, parallax, sift-features
- Language: Python
- Homepage:
- Size: 80.2 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Image Stitching - A survey of traditional and deep learning sides
This repository contains the source code for the Image Stitching project developed by the Fourth Team, as part of the 'Digital Image and Video Processing' course. The project includes a comprehensive survey on image stitching techniques and their applications in multi-perspective image stitching.
# Members
| **Name**| **Major**| **University**|
|-|-|-|
| Quang-Thang Duong | Information Technology - Computer Vision | University of Science (VNUHCM) |
| Quoc-Thang Nguyen | Information Technology - Computer Vision | University of Science (VNUHCM) |
| Gia-Nguyen Nguyen | Information Technology - Computer Vision | University of Science (VNUHCM) |
| Nam-Hung Ngo-Hoang | Information Technology - Computer Vision | University of Science (VNUHCM) |
# Project Structure
The organizational structure of our project is as follows:
**"data" Folder:**
* Contains the original raw UDIS-D dataset. Because the capacity is too large, I only push a very small part. Please download the full data set at: https://drive.google.com/drive/folders/1kC7KAULd5mZsqaWnY3-rSbQLaZ7LujTY
**"doc" Folder:**
* Holds documentation and scientific papers that we referenced and used in this project.
**"src" Folder:**
* Includes two subfolders, storing the source code for traditional (non-deep learning) methods and deep learning methods. Please read README.md for more details.