Object recognition based on visual grammars and Bayesian networks

Authors:
Elías Ruiz;L. Enrique Sucar
Affiliations:
National Institute of Astrophisics, Optics and Electronics, Computer Science Department;National Institute of Astrophisics, Optics and Electronics, Computer Science Department
Venue:
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Year:
2013

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Abstract

A novel proposal for object recognition based on relational grammars and Bayesian Networks is presented. Based on a Symbol-Relation 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.