Surface reconstruction is a process in computer graphics and computer vision that aims to create a 3D model of an object's surface from a set of data points. These data points can come from various sources, such as 3D scanning, photogrammetry, or depth sensors. The goal is to accurately represent the shape and features of the object, allowing for better visualization and analysis. The techniques used in surface reconstruction include methods like triangulation, mesh generation, and implicit surfaces. These methods help convert the scattered data points into a continuous surface, making it easier to manipulate and render in digital environments. Surface reconstruction is widely used in fields such as robotics, virtual reality, and medical imaging.