anorama-Stitching-using-Sift-Surf-ORB-descriptors
所属分类：图形图像处理
开发工具：Jupyter Notebook
文件大小：0KB
下载次数：2
上传日期：2023-10-19 00:52:39
上 传 者：
sh-1993
说明： 该存储库由用于全景图像拼接的SIFT、SURF和ORB描述符的通用代码实现组成，
(This repository consists of a generalized Code implementation for SIFT, SURF and ORB descriptors for panorama image stitching,)
文件列表:
1.jpg (452233, 2023-10-18)
2.jpg (435824, 2023-10-18)
5.jpg (1060178, 2023-10-18)
Panorama Image Stitching using Sift descriptors.ipynb (7829684, 2023-10-18)
# Panorama Stitching using SIFT/SURF/ORB Descriptors
## Overview
This repository contains code for creating stunning panoramic images by stitching together multiple overlapping images. The panorama stitching process leverages feature descriptors, including SIFT (Scale-Invariant Feature Transform), SURF (Speeded-Up Robust Features), and ORB (Oriented FAST and Rotated BRIEF), to identify matching keypoints and align images seamlessly.
## Features
- **Feature Extraction:** Utilize feature extraction algorithms (SIFT, SURF, ORB) to detect key points in images and compute their descriptors.
- **Key Point Matching:** Find matching keypoints between adjacent images to identify overlapping regions.
- **Image Alignment:** Accurately align images based on matched keypoints and compute the transformation needed for each image.
- **Panorama Stitching:** Combine aligned images to create a single, seamless panoramic image.
- **Choice of Descriptors:** Experiment with different feature descriptors (SIFT, SURF, ORB) to understand their impact on stitching quality.
## Dependencies
Make sure you have the following dependencies installed:
Python 3.x
OpenCV (cv2)
NumPy
You can install these libraries using pip.
## About the Author
Aliullah
aliullah623@gmail.com
LinkedIn Profile ([if applicable](https://www.linkedin.com/in/aliullah623/)https://www.linkedin.com/in/aliullah623/)
Feel free to reach out for any questions, suggestions, or collaborations.
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