Welcome to the "Pixel to Point Cloud" workshop repository! This project is designed to guide you through building a comprehensive 3D vision pipeline, transforming 2D images into 3D point clouds using Python and computer vision techniques.
Check the workshop website for more detailed information.
- Introduction to 3D Vision
- Understanding Camera Models
- Image Distortion and Undistortion
- 3D-2D Projections and PnP
- Dual Camera Setups
- Stereo Matching Fundamentals
- From Disparity to Depth
- Building Your 3D Vision Pipeline
We welcome contributions and suggestions! Please open an issue or submit a pull request if you have any improvements or find any bugs.
This project is licensed under the MIT License - see the LICENSE file for details.
Happy learning, and enjoy your journey into the world of 3D vision!