Fundamental Matrix

The Fundamental Matrix is a concept used in computer vision, particularly in stereo vision, to describe the relationship between two cameras observing the same scene. It captures how points in one image correspond to points in another image taken from a different viewpoint. Essentially, it defines the geometric constraints between these two views, allowing for the reconstruction of 3D coordinates from 2D images. By using the Fundamental Matrix, algorithms can determine where points in one image will appear in another, enabling tasks like depth estimation and 3D modeling. It’s a key tool for computational photography and robotics.