Structure from motion

Structure from motion (SfM)^[1] is a photogrammetric range imaging technique for estimating three-dimensional structures from two-dimensional image sequences that may be coupled with local motion signals. It is a classic problem studied in the fields of computer vision and visual perception. In computer vision, the problem of SfM is to design an algorithm to perform this task. In visual perception, the problem of SfM is to find an algorithm by which biological creatures perform this task.