{"type":"ScholarlyArticle","title":"A Simple Method for Recovering a Relative Depth Map in the Case of a Translating Sensor","authors":[{"name":"K. Prazdny","slug":"k-prazdny","given":"K.","family":"Prazdny","affiliation":""}],"abstract":"When an optical sensor translates along a known direction in a stationary world the relative depth map of object points on the surface can be easily obtained when some simplifying assumptions are made. Under these assumptions the angular speeds of projecting rays can be obtained from (approximations to) temporal and spatial derivatives of image brightness. The relative depth of any two image points is then directly computable as a simple ratio of linear functions of their angular velocities because the directions of angular velocities are known in this special situation.","doi":null,"url":"https://ijcai.org/proceedings/1981/132","pdf":"https://ijcai.org/proceedings/1981/0132.pdf","markdown":"https://ijcai.org/proceedings/1981/132.md","bibtex":"https://ijcai.org/proceedings/1981/bibtex/132","volume":{"slug":"1981","title":"Proceedings of the Seventh International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1981","url":"https://ijcai.org/proceedings/1981/","year":1981,"location":"Vancouver, British Columbia, Canada","dates":"24-28 August 1981","editors":"Roger C. Schank","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Vision: Motion","track":"Vision: Motion","number":132,"pages":{"first":698,"last":698},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}