Object Recognition Based on Visual Grammars and Bayesian Networks

Ruiz, Elias; Sucar, Luis Enrique

Object Recognition Based on Visual Grammars and Bayesian Networks

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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.

Elias Ruiz, and Luis Enrique Sucar. 2013. Object Recognition Based on Visual Grammars and Bayesian Networks. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 3241–3241. https://ijcai.org/proceedings/2013/507

@inproceedings{ijcai2013p507,
  title     = {Object Recognition Based on Visual Grammars and Bayesian Networks},
  author    = {Ruiz, Elias and Sucar, Luis Enrique},
  booktitle = {Proceedings of the Twenty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-13}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Francesca Rossi},
  pages     = {3241--3241},
  year      = {2013},
  month     = {8},
  url       = {https://ijcai.org/proceedings/2013/507},
}

TY  - CPAPER
TI  - Object Recognition Based on Visual Grammars and Bayesian Networks
AU  - Ruiz, Elias
AU  - Sucar, Luis Enrique
T2  - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2013
SP  - 3241
EP  - 3241
UR  - https://ijcai.org/proceedings/2013/507
ER  -