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https://github.com/ultralytics/kinect
3D Scene Reconstruction in MATLAB with the Microsoft Kinect depth sensor.
https://github.com/ultralytics/kinect
3d depth kinect-sensor sfm slam
Last synced: 3 months ago
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3D Scene Reconstruction in MATLAB with the Microsoft Kinect depth sensor.
- Host: GitHub
- URL: https://github.com/ultralytics/kinect
- Owner: ultralytics
- License: agpl-3.0
- Created: 2018-05-17T23:55:39.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2024-08-26T13:50:48.000Z (6 months ago)
- Last Synced: 2024-08-26T16:18:15.195Z (6 months ago)
- Topics: 3d, depth, kinect-sensor, sfm, slam
- Language: MATLAB
- Homepage: https://ultralytics.com
- Size: 92.6 MB
- Stars: 18
- Watchers: 3
- Forks: 8
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Introduction 🌟
[](https://github.com/ultralytics/kinect/actions/workflows/format.yml) 
Welcome to the [Ultralytics Kinect](https://github.com/ultralytics/kinect) repository! Here, you'll explore state-of-the-art 3D scene reconstruction algorithms using data captured with the Microsoft Kinect sensor, a groundbreaking depth-imaging device. Dive into our technology and watch it in action through example videos on our [YouTube channel](https://youtube.com/ultralytics?sub_confirmation=1).
[](https://youtu.be/dqK5DkgTGyk "Click to Watch!")
# Prerequisites 🛠️
Before you begin, ensure you have [MATLAB](https://www.mathworks.com/products/matlab.html) version 2018a or newer. Grab our repository of common functions with the following commands:
```shell
$ git clone https://github.com/ultralytics/functions-matlab
```
After cloning, add it to your MATLAB path:
```matlab
>> addpath(genpath('/path/to/functions-matlab'))
```
Make sure you have the following toolboxes installed:
- `Statistics and Machine Learning Toolbox`
- `Signal Processing Toolbox`
# How to Run 🏃
Launch the 3D reconstruction in MATLAB with ease:
```matlab
>> buildscene
```
# Contribute 🤝
Your insights can help enhance the project! We are thrilled to collaborate with our community. To get started, please review our [Contributing Guide](https://docs.ultralytics.com/help/contributing/) and fill out the [Survey](https://www.ultralytics.com/survey?utm_source=github&utm_medium=social&utm_campaign=Survey). Your feedback drives our improvements. A heartfelt thank you goes out to everyone who has already contributed!
# Licensing Options ⚖️
This software is under the **AGPL-3.0 License**, which is an [OSI-approved](https://opensource.org/license/agpl-v3) open-source license. It's perfect for students, researchers, and enthusiasts promoting transparency and collaboration. Detailed information is available in our [LICENSE](LICENSE) file.
For commercial applications, an **Enterprise License** is available, which allows you to integrate Ultralytics software seamlessly into your products or services without the open-source constraints of AGPL-3.0. For more details on commercial use, please visit [Ultralytics Licensing](https://www.ultralytics.com/license).
# Stay Connected! 🌐
If you encounter any bugs or wish to request features, please post them on [GitHub Issues](https://github.com/ultralytics/kinect/issues). Also, join our inspiring [Discord](https://discord.com/invite/ultralytics) community for discussions, questions, and brainstorming sessions!
