{"type":"ScholarlyArticle","title":"Computing Convergence Angle From Random Dot Stereograms","authors":[{"name":"K. Prazdny","slug":"k-prazdny","given":"K.","family":"Prazdny","affiliation":""}],"abstract":"Camera calibration is difficult in random dot stereograms lacking monocularly distinguishable features. An algorithm for computing the convergence angle from purely visual information without a prior solution to the correspondence problem was developed and tested. It is an experimental validation of some ideas first outlined in a previous report.","doi":null,"url":"https://ijcai.org/proceedings/1983/243","pdf":"https://ijcai.org/proceedings/1983/0243.pdf","markdown":"https://ijcai.org/proceedings/1983/243.md","bibtex":"https://ijcai.org/proceedings/1983/bibtex/243","volume":{"slug":"1983","title":"Proceedings of the Eighth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1983","url":"https://ijcai.org/proceedings/1983/","year":1983,"location":"Karlsruhe, West Germany","dates":"","editors":"Alan Bundy","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Vision","track":"Vision","number":243,"pages":{"first":1050,"last":1051},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}