
Photogrammetry is a technique used to extract three-dimensional (3D) informa on from two-dimensional (2D) photographs. It involves taking mulPple overlapping photographs of an object, structure, or space, and then using computer so ware to generate a 3D model. This model can be a 3D mesh, point cloud, or other digital representa ons of the object. Photogrammetry works on the principle of triangula on—calcula ng the di erent angles of sight from mulµple camera shots to determine the 3D loca on of points in the scene.
Photogrammetry is a passive optical metrology and computer vision methodology that extracts high-fidelity three-dimensional (3D) geometric and scan data from a series of overlapping two-dimensional (2D) photographic images. The process utilizes principles of projective geometry, epipolar geometry, and optical triangulation, where intersecting rays from calibrated camera locations compute discrete scan coordinates. Modern digital photogrammetry relies on Structure-from-Motion (SfM) and Multi-View Stereo (MVS) algorithms to automatically identify keypoint correspondences across images, solve for sensor orientation, and reconstruct dense 3D point clouds, polygonal meshes, and orthomosaics with sub-millimeter scan accuracy.