Point Cloud
A set of 3D data points representing the surface of objects, captured by LiDAR or depth sensors.
Overview
A point cloud is a collection of data points in 3D space, where each point has x, y, z coordinates and may include additional attributes like color, intensity, or surface normals. Point clouds are generated by LiDAR sensors, depth cameras, or 3D reconstruction algorithms.
Key Details
Processing point clouds with deep learning requires specialized architectures (PointNet, PointNet++) since the data is unordered and irregularly spaced, unlike images. Applications include autonomous driving (LiDAR perception), 3D mapping, robotics, augmented reality, and digital twin creation. Point cloud processing is essential for understanding 3D environments.