Generating 3D Point Clouds

Generating 3D Point Clouds is a key technology in computer vision that aims to create a dense set of points representing objects or environments in three-dimensional space through data collected from various sensors. The goal of this technology is to achieve high-precision, high-resolution 3D reconstruction, providing critical data support for fields such as robot navigation, autonomous driving, virtual reality, and augmented reality. 3D point clouds can capture the geometric shape and spatial distribution of objects, offering extensive application value, including but not limited to environmental perception, object recognition and tracking, and scene reconstruction.