SymPaD: Symbolic Patch Descriptor

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

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.

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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