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Authors: Wallace Lawson and J. Gregory Trafton

Affiliation: Naval Center for Applied Research in Artificial Intelligence, United States

Keyword(s): Object Recognition, Active Object Recognition, Neural Networks.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Early and Biologically-Inspired Vision ; Features Extraction ; Image and Video Analysis

Abstract: Object recognition is a practical problem with a wide variety of potential applications. Recognition becomes substantially more difficult when objects have not been presented in some logical, “posed” manner selected by a human observer. We propose to solve this problem using active object recognition, where the same object is viewed from multiple viewpoints when it is necessary to gain confidence in the classification decision. We demonstrate the effect of unposed objects on a state-of-the-art approach to object recognition, then show how an active approach can increase accuracy. The active approach works by attaching confidence to recognition, prompting further inspection when confidence is low. We demonstrate a performance increase on a wide variety of objects from the RGB-D database, showing a significant increase in recognition accuracy.

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Paper citation in several formats:
Lawson, W. and Trafton, J. (2013). Unposed Object Recognition using an Active Approach. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 309-314. DOI: 10.5220/0004285503090314

@conference{visapp13,
author={Wallace Lawson. and J. Gregory Trafton.},
title={Unposed Object Recognition using an Active Approach},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={309-314},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004285503090314},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Unposed Object Recognition using an Active Approach
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Lawson, W.
AU - Trafton, J.
PY - 2013
SP - 309
EP - 314
DO - 10.5220/0004285503090314
PB - SciTePress

- Science and Technology Publications, Lda.
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