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Authors: Eckart Michaelsen 1 ; Wolfgang Middelmann 1 and Uwe Sörgel 2

Affiliations: 1 FGAN-FOM, Germany ; 2 Institute of Photogrammetry and GeoInformation, University of Hanover, Germany

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): Cognitive vision, Perceptual grouping, Production systems, Blackboard control, SAR images.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Structural and Syntactic Approach

Abstract: The laws of gestalt-perception play an important role in human vision. Psychological studies identified similarity, good continuation, proximity and symmetry as important inter-object relations that distinguish perceptive gestalts from arbitrary sets of clutter objects. Particularly, symmetry and continuation possess a high potential in detection, identification, and reconstruction of man-made objects. This contribution focuses on coding this principle in a full automatic production system. Such systems capture declarative knowledge. The procedural details are defined as control strategy for an interpreter. Often an exact solution is not feasible while approximately correct interpretations of the data with the production system are sufficient. Given input data and a given production system the control acts accumulative instead of reducing. The approach is assessment driven features any-time capability and fits well into the recently discussed paradigms of cognitive vision. An example from the automatic extraction of groupings and symmetry in man-made structure from high resolution SAR-image data is given. The contribution also discusses the relations of such endeavour to the “mid-level” of what is today proposed as “cognitive vision”. (More)

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Paper citation in several formats:
Michaelsen, E.; Middelmann, W. and Sörgel, U. (2006). COGNITIVE VISION AND PECEPTUAL GROUPING BY PRODUCTION SYSTEMS WITH BLACKBOARD CONTROL: - An example for high-resolution SAR-images.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 109-115. DOI: 10.5220/0001368101090115

@conference{visapp06,
author={Eckart Michaelsen and Wolfgang Middelmann and Uwe Sörgel},
title={COGNITIVE VISION AND PECEPTUAL GROUPING BY PRODUCTION SYSTEMS WITH BLACKBOARD CONTROL: - An example for high-resolution SAR-images},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={109-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001368101090115},
isbn={972-8865-40-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - COGNITIVE VISION AND PECEPTUAL GROUPING BY PRODUCTION SYSTEMS WITH BLACKBOARD CONTROL: - An example for high-resolution SAR-images
SN - 972-8865-40-6
AU - Michaelsen, E.
AU - Middelmann, W.
AU - Sörgel, U.
PY - 2006
SP - 109
EP - 115
DO - 10.5220/0001368101090115

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