Point Cloud
A point cloud is a set of data points in a coordinate system, typically in three dimensions (3D), representing the external surface of an object or environment. Each point has coordinates (X, Y, Z) and may include additional attributes like color, intensity, or normal vectors. It is commonly generated by 3D scanners, LiDAR sensors, or photogrammetry software to capture real-world geometry for applications in computer vision, robotics, and geospatial analysis.
Developers should learn about point clouds when working with 3D data processing, such as in autonomous vehicles for obstacle detection, in architecture for building modeling, or in virtual reality for environment reconstruction. It is essential for tasks like object recognition, scene understanding, and spatial mapping, where raw sensor data needs to be interpreted and manipulated in software.