Hand Pose Recognition by using Masked Zernike Moments

JungSoo Park, Hyo-Rim Choi, JunYoung Kim, TaeYong Kim

2014

Abstract

In this paper we present a novel way of applying Zernike moments for image matching. Zernike moments are obtained from projecting image information under a circumscribed circle to Zernike basis function. However, the problem is that the power of discrimination may be reduced because hand images include lots of overlapped information due to their shape characteristic. On the other hand, in the pose discrimination shape information of hands excluding the overlapped area can increase the power of discrimination. In order to solve the overlapped information problem, we present a way of applying subtraction masks. Internal mask R1 eliminates overlapped information in hand images, while external mask R2 weighs outstanding features of hand images. Mask R3 combines the results from the image masked by R1 and the image masked by R2. The moments obtained by R3 mask increase the accuracy of discrimination for hand poses, which is shown in experiments by comparing conventional methods.

References

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Paper Citation


in Harvard Style

Park J., Choi H., Kim J. and Kim T. (2014). Hand Pose Recognition by using Masked Zernike Moments . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 551-556. DOI: 10.5220/0004731605510556


in Bibtex Style

@conference{visapp14,
author={JungSoo Park and Hyo-Rim Choi and JunYoung Kim and TaeYong Kim},
title={Hand Pose Recognition by using Masked Zernike Moments},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={551-556},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004731605510556},
isbn={978-989-758-003-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Hand Pose Recognition by using Masked Zernike Moments
SN - 978-989-758-003-1
AU - Park J.
AU - Choi H.
AU - Kim J.
AU - Kim T.
PY - 2014
SP - 551
EP - 556
DO - 10.5220/0004731605510556