Kinect Live 3D Point-Cloud matching Demo

Version 1.0.0.1 (4.47 KB) by Wanbin Song
Wanbin Song's repository
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3.1K Downloads
Updated 26 Nov 2019
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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
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0.1

Connected to Github
1.0.0.0

Changed Title/Summary to highlight the key-feature of this app.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.