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Authors: E. Michaelsen ; L. Doktorski and M. Arens

Affiliation: Forschungsinstitut f¨ur Optronik und Mustererkennung, Germany

Keyword(s): Structural pattern recognition, Local inhibition.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Structural and Syntactic Approach

Abstract: Declarative knowledge and control decisions on the sequence of interpretation acts are separated in a structural pattern recognition system. The control can be optimized leaving the knowledge fixed. A simple production system is used as declarative example knowledge. It is tailored to recognize and locate rectangles in images – where object primitives are several thousand very short contour segments. Different control strategies can be realized: (i) a simple quality driven bottom-up control; (ii) an heuristic strategy punishing object instances which have been partner in an already performed reduction and (iii) a new psychologically inspired strategy that combines local inhibition with less local excitation. These strategies are compared quantitatively on synthetic data and qualitatively on a real aerial image.

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Paper citation in several formats:
Michaelsen, E.; Doktorski, L. and Arens, M. (2009). MAKING STRUCTURAL PATTERN RECOGNITION TRACTABLE BY LOCAL INHIBITION. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 1: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 381-384. DOI: 10.5220/0001767203810384

@conference{visapp09,
author={E. Michaelsen. and L. Doktorski. and M. Arens.},
title={MAKING STRUCTURAL PATTERN RECOGNITION TRACTABLE BY LOCAL INHIBITION},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 1: VISAPP},
year={2009},
pages={381-384},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001767203810384},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 1: VISAPP
TI - MAKING STRUCTURAL PATTERN RECOGNITION TRACTABLE BY LOCAL INHIBITION
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Michaelsen, E.
AU - Doktorski, L.
AU - Arens, M.
PY - 2009
SP - 381
EP - 384
DO - 10.5220/0001767203810384
PB - SciTePress