Computer Vision

Computer vision asks two things of a scene: what it is made of, and what each piece is. The first is a question about representation, running from a pixel lattice through point sets and triangulated surfaces to quotient manifolds of shapes. The second is a question about inference, running from energy minimisation through learned message passing to metric learning. Writing here treats both as geometry and works from measured data: terrestrial lidar, photogrammetry, and the meshes built from them.