Kinect Live 3D Point-Cloud matching Demo
This demo is implemented only using MathWorks products.
1. Visualize streaming Color and Depth image.
2. Control depth mode(Default/Near) and elevation angle.
3. Simultaneously align color with depth image.
4. Live 3D Reconstruction with Point cloud stitching.
The highlight thing in this demo is live 3D reconstruction. User can easily combine multiple point clouds to reconstruct a 3D scene using ICP(Iterative Closest Point) algorithm. It can be used in various application like develop 3D models of objects or build 3D world maps for SLAM(Simultaneous Localization And Mapping).
Cite As
Wanbin Song (2024). Kinect Live 3D Point-Cloud matching Demo (https://github.com/wanbin-song/KinectLive), GitHub. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- Image Processing and Computer Vision > Computer Vision Toolbox > Point Cloud Processing >
- Test and Measurement > Image Acquisition Toolbox > Image Acquisition Toolbox Supported Hardware > Kinect For Windows Sensor >
- Image Processing and Computer Vision > Image Acquisition Toolbox > Image Acquisition Toolbox Supported Hardware > Kinect For Windows Sensor >
- Test and Measurement > Image Acquisition Toolbox > Image Data Acquisition > Acquisition Using Kinect for Windows Hardware >
- Image Processing and Computer Vision > Image Acquisition Toolbox > Image Data Acquisition > Acquisition Using Kinect for Windows Hardware >
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Versions that use the GitHub default branch cannot be downloaded
Version | Published | Release Notes | |
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1.0.0.1 | Connected to Github |
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1.0.0.0 | Changed Title/Summary to highlight the key-feature of this app. |