{"type":"ScholarlyArticle","title":"Dynamically Quantized Spaces for Focusing the Hough Transform","authors":[{"name":"Joseph O'Rourke","slug":"joseph-o-apos-rourke","given":"Joseph","family":"O'Rourke","affiliation":""}],"abstract":"A dynamic: data structure is sugested for representing the acc:umulator array uial with a Hough Transform. The structure, called a D,ynamlcaHy ~allllzd Space, allocates resources where they are most 1\"-'ed to best discriminate the peak in the parameter space. The effect i:; to focus the Hough Tramform. Such attention control is especially needed when the parameter space has a large number of dimensions.","doi":null,"url":"https://ijcai.org/proceedings/1981/141","pdf":"https://ijcai.org/proceedings/1981/0141.pdf","markdown":"https://ijcai.org/proceedings/1981/141.md","bibtex":"https://ijcai.org/proceedings/1981/bibtex/141","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: Low-level","track":"Vision: Low-level","number":141,"pages":{"first":737,"last":738},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}