Point Cloud Networks

Point cloud networks are specialized algorithms designed to analyze 3D data captured as sets of points in space, known as point clouds. These networks process the spatial coordinates of each point, along with additional information like color or intensity, to understand complex shapes and environments. Commonly used in applications like autonomous vehicles, robotics, and 3D mapping, they enable computers to recognize objects, navigate spaces, and construct detailed 3D models efficiently. Unlike traditional image processing, point cloud networks directly handle the unstructured nature of 3D point data, making them essential for interpreting the physical world in digital form.