---
title: "Object Recognition Based on Visual Grammars and Bayesian Networks"
authors:
  - "Elias Ruiz"
  - "Luis Enrique Sucar"
doi: ""
url: "https://ijcai.org/proceedings/2013/507"
pdf: "https://ijcai.org/proceedings/2013/0507.pdf"
venue: "Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence"
year: 2013
pages: "3241-3241"
track: ""
keywords:
---

# Object Recognition Based on Visual Grammars and Bayesian Networks

Elias Ruiz, Luis Enrique Sucar

*Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence*, pages 3241-3241.

## 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.