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How to Compute PCA and Visualize 3D Point Cloud with Python (Principal Component Analysis 3D Course)
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This tutorial highlights how we can leverage Principal Component Analysis (PCA) for 3D Point Cloud Scene Understanding and Segmentation.
It is an extract of the course 3D Detector, a 3D Object Detection Course.
Have fun coding this project!
🍿 NEXT STEPS:
🙋 FOLLOW ME
WHO AM I?
If we haven’t yet before - Hey 👋 I’m Florent, a professor-turned-entrepreneur, and I’ve somehow become the world’s most-followed 3D Python Expert. Through my videos here on this channel and my writing, I share evidence-based strategies and tools to help you be better coders and 3D innovators.
CHAPTERS 📘
[00:00:00]: Introduction to Principal Component Analysis (3D)
[00:01:25]: Overview of the Workflow for 3D Data Processing
[00:04:31]: Importing 3D Python Libraries
[00:05:12]: Loading the Point Cloud Dataset
[00:07:54]: DBSCAN and K-NN Segment Data Preparation
[00:09:52]: Cluster-based PCA for Point Cloud
[00:16:39]: Combine Vectors and Point Clouds
[00:18:45]: Creating the DrawPCA Function
[00:20:35]: Automation through 3D PCA Loop
[00:22:29]: 3D Feature Extraction Loop
[00:27:40]: Point Cloud with Eigen Features Export
[00:28:10]: Feature-based 3D Point Cloud Visualization
[00:29:09]: PCA for 3D Point Clouds Conclusion
It is an extract of the course 3D Detector, a 3D Object Detection Course.
Have fun coding this project!
🍿 NEXT STEPS:
🙋 FOLLOW ME
WHO AM I?
If we haven’t yet before - Hey 👋 I’m Florent, a professor-turned-entrepreneur, and I’ve somehow become the world’s most-followed 3D Python Expert. Through my videos here on this channel and my writing, I share evidence-based strategies and tools to help you be better coders and 3D innovators.
CHAPTERS 📘
[00:00:00]: Introduction to Principal Component Analysis (3D)
[00:01:25]: Overview of the Workflow for 3D Data Processing
[00:04:31]: Importing 3D Python Libraries
[00:05:12]: Loading the Point Cloud Dataset
[00:07:54]: DBSCAN and K-NN Segment Data Preparation
[00:09:52]: Cluster-based PCA for Point Cloud
[00:16:39]: Combine Vectors and Point Clouds
[00:18:45]: Creating the DrawPCA Function
[00:20:35]: Automation through 3D PCA Loop
[00:22:29]: 3D Feature Extraction Loop
[00:27:40]: Point Cloud with Eigen Features Export
[00:28:10]: Feature-based 3D Point Cloud Visualization
[00:29:09]: PCA for 3D Point Clouds Conclusion
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