soumik12345/point-cloud-segmentation
TF2 implementation of PointNet for segmenting point clouds
This project helps computer vision engineers and 3D data analysts automatically identify and separate different parts of a 3D object represented as a point cloud. You input raw 3D point cloud data of objects like cars or airplanes, and it outputs a segmented point cloud where each distinct part (e.g., car wheel, airplane wing) is uniquely identified. This enables detailed analysis and manipulation of individual components within complex 3D scans.
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Use this if you need to programmatically divide 3D point cloud scans of objects into their constituent parts for applications like reverse engineering, quality control, or robotic interaction.
Not ideal if your primary goal is 2D image analysis, general object detection, or if you don't work with dense 3D point cloud data.
Stars
40
Forks
11
Language
Python
License
MIT
Category
Last pushed
Nov 16, 2021
Commits (30d)
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