Image Processing Supports HCI in Museum Application

Niki Martinel, Marco Vernier, Gian Luca Foresti, Elisabetta Lamedica

Abstract

This work introduces a novel information visualization technique for mobile devices through Augmented Reality (AR). A painting boundary detector and a features extraction modules have been implemented to compute paintings signatures. The computed signatures are matched using a linear weighted combination of the extracted features. The detected boundaries and the features are exploited to compute the homography transformations. The homography transformations are used to introduce a novel user interaction technique for AR. Three different user interfaces have been evaluated using standard usability methods.

References

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Paper Citation


in Harvard Style

Martinel N., Vernier M., Foresti G. and Lamedica E. (2013). Image Processing Supports HCI in Museum Application . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 118-121. DOI: 10.5220/0004299801180121


in Bibtex Style

@conference{visapp13,
author={Niki Martinel and Marco Vernier and Gian Luca Foresti and Elisabetta Lamedica},
title={Image Processing Supports HCI in Museum Application},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={118-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004299801180121},
isbn={978-989-8565-48-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Image Processing Supports HCI in Museum Application
SN - 978-989-8565-48-8
AU - Martinel N.
AU - Vernier M.
AU - Foresti G.
AU - Lamedica E.
PY - 2013
SP - 118
EP - 121
DO - 10.5220/0004299801180121