Welcome to the stereo-matching-algorithms-matlab repository! This application offers fast stereo matching algorithms in MATLAB, making it easy for you to generate disparity maps. You can use these algorithms to enhance image analysis in various applications.
Before downloading, ensure your system meets these requirements:
- Operating System: Windows, macOS, or Linux
- MATLAB version: R2018a or later
- Minimum RAM: 4 GB
- Space: At least 100 MB available
This repository includes several efficient algorithms:
- Block Matching: Fast disparity map generation using local pixel matching.
- Dynamic Programming: An advanced algorithm that optimizes matching with global costs.
- Semi-Global Matching: Combines the benefits of both local and global methods for better accuracy.
- Semi-Global Block Matching: An optimized version of Semi-Global Matching for quicker results.
- Belief Propagation: A flexible approach for stereo matching with improved accuracy.
To download the application, click the following link:
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Visit the Releases Page: Click the link above to go to our Releases page on GitHub.
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Select the Latest Release: Look for the latest version in the list. Each release contains a package with the necessary files.
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Download the Files: Click on the download link for the appropriate package based on your operating system.
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Unzip the Package: After downloading, unzip the package to a location on your computer. You will find all the MATLAB files needed to run the algorithms.
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Open MATLAB: Launch MATLAB on your computer.
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Navigate to the Folder: Use the 'cd' command in MATLAB to change to the directory where you unzipped the files. For example:
cd 'C:\path\to\your\folder'
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Run the Algorithms: You can now run any algorithm by calling its function directly in MATLAB. For example:
disparityMap = blockMatching(leftImage, rightImage);
For detailed information on each algorithm, how to use them, and sample code, refer to the documentation files included in the package you downloaded. Each algorithm's file has comments explaining its purpose and usage.
If you have questions or need help, the community is here for you. You can create issues in the GitHub repository to ask for assistance. Contributors and users regularly check the repository for inquiries.
This project covers a variety of topics related to stereo matching:
- Belief Propagation
- Dynamic Programming
- Block Matching
- Disparity Map Generation
- Semi-Global Matching
Explore these concepts to deepen your understanding of stereo matching.
For any specific inquiries or feedback, feel free to reach out to the repository maintainer through GitHub messaging.
Thank you for using our stereo matching algorithms. Enjoy exploring image analysis!
