MVS (Multi-View Stereo)

Multi-View Stereo (MVS) is a technique used in computer vision to create detailed 3D models of objects or environments by analyzing multiple photographs taken from different angles. By comparing these images, MVS algorithms identify common points and calculate their precise 3D positions, reconstructing the shape and surface details of the scene. This process enables the generation of accurate, textured 3D representations, useful in fields like mapping, virtual reality, and digital preservation. Essentially, MVS transforms a collection of photos into a realistic three-dimensional model through advanced image analysis.