Surface reconstruction is a research area in computer graphics and computer vision that focuses on creating 3D models of surfaces from a set of data points or a point cloud. This process involves reconstructing the geometry and topology of the surface based on the input data, which can come from various sources such as 3D scans, images, or sensor data. Surface reconstruction algorithms aim to generate a smooth and accurate representation of the surface while preserving important geometric features such as edges and curves. These algorithms often involve techniques such as point cloud processing, mesh generation, and surface fitting to generate a complete and visually appealing 3D model. Applications of surface reconstruction include 3D modeling, virtual reality, augmented reality, medical imaging, and computer-aided design. Researchers continue to explore new methods and techniques to improve the speed, accuracy, and robustness of surface reconstruction algorithms.