Image Processing Supports HCI in Museum Application

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

2013

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.

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