SymPaD: Symbolic Patch Descriptor

Sinem Aslan, Ceyhun Burak Akgül, Bülent Sankur, Turhan Tunalı

2015

Abstract

We propose a new local image descriptor named SymPaD for image understanding. SymPaD is a probability vector associated with a given image pixel and represents the attachment of the pixel to a previously designed shape repertoire. As such the approach is model-driven. The SymPad descriptor is illumination and rotation invariant, and extremely flexible on extending the repertoire with any parametrically generated geometrical shapes and any desired additional transformation types.

Paper Citation

in Harvard Style

Aslan S., Akgül C., Sankur B. and Tunalı T. (2015). SymPaD: Symbolic Patch Descriptor . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 266-271. DOI: 10.5220/0005361802660271

in Bibtex Style

@conference{visapp15,
author={Sinem Aslan and Ceyhun Burak Akgül and Bülent Sankur and Turhan Tunalı},
title={SymPaD: Symbolic Patch Descriptor},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={266-271},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005361802660271},
isbn={978-989-758-089-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - SymPaD: Symbolic Patch Descriptor
SN - 978-989-758-089-5
AU - Aslan S.
AU - Akgül C.
AU - Sankur B.
AU - Tunalı T.
PY - 2015
SP - 266
EP - 271
DO - 10.5220/0005361802660271