Kinect Live 3D Point-Cloud matching Demo

Wanbin Song's repository

https://github.com/wanbin-song/KinectLive

Version 1.0.0.1 (4.47 KB)
3.1K Downloads
(4)
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 (2026). Kinect Live 3D Point-Cloud matching Demo (https://github.com/wanbin-song/KinectLive), GitHub. Retrieved .

Categories

Find more on Kinect For Windows Sensor in Help Center and MATLAB Answers

General Information

MATLAB Release Compatibility

  • 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.