{"type":"ScholarlyArticle","title":"Object Recognition Based on Visual Grammars and Bayesian Networks","authors":[{"name":"Elias Ruiz","slug":"elias-ruiz","given":"Elias","family":"Ruiz","affiliation":""},{"name":"Luis Enrique Sucar","slug":"luis-enrique-sucar","given":"Luis Enrique","family":"Sucar","affiliation":""}],"abstract":"A novel proposal for object recognition based on relational grammars and Bayesian Networks is presented. Based on this grammar an object is represented as a hierarchy of features and spatial relations. This representation is transformed to a Bayesian network structure which parameters are learned from examples. Thus, recognition is based on probabilistic inference in the Bayesian network representation. Preliminary results in modeling natural objects are presented.","doi":null,"url":"https://ijcai.org/proceedings/2013/507","pdf":"https://ijcai.org/proceedings/2013/0507.pdf","markdown":"https://ijcai.org/proceedings/2013/507.md","bibtex":"https://ijcai.org/proceedings/2013/bibtex/507","volume":{"slug":"2013","title":"Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2013","url":"https://ijcai.org/proceedings/2013/","year":2013,"location":"Beijing, China","dates":"3–9 August 2013","editors":"Francesca Rossi","isbn":"978-1-57735-633-2","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":507,"pages":{"first":3241,"last":3241},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}