{"type":"ScholarlyArticle","title":"Spatial Object Perception from an Image","authors":[{"name":"Radu Horaud","slug":"radu-horaud","given":"Radu","family":"Horaud","affiliation":""}],"abstract":"In this paper we address the problern of finding the spatial position and orientation of an object from a single image. It is assumed that the image formation process and an object model are known in advance. Sets of image lines are backprojected and constraints on their spatial int e rpretations are derived. A search space is then constructed where each node represents a space feature wi th a model assignment. Next, a hypothes i ze-and - test recognition strategy is used to select a solution, that is to determine six degrees of freedom of a part from a set of featur e s. Finally we discuss the efficiency and the rel i abil i ty of the me t hod.","doi":null,"url":"https://ijcai.org/proceedings/1985/229","pdf":"https://ijcai.org/proceedings/1985/0229.pdf","markdown":"https://ijcai.org/proceedings/1985/229.md","bibtex":"https://ijcai.org/proceedings/1985/bibtex/229","volume":{"slug":"1985","title":"Proceedings of the Ninth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1985","url":"https://ijcai.org/proceedings/1985/","year":1985,"location":"Los Angeles, California, USA","dates":"","editors":"Aravind Joshi","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Robotics","track":"Robotics","number":229,"pages":{"first":1116,"last":1118},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}