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Authors: Swathikiran Sudhakaran 1 and Alex Pappachen James 2

Affiliations: 1 Fondazione Bruno Kessler, Italy ; 2 Nazarbayev University, Kazakhstan

ISBN: 978-989-758-175-5

ISSN: 2184-4321

Keyword(s): Low Resolution, Face Recognition, Thumbnails, Wavelet Transform, Local Binary Pattern, Nearest Neighbour, Sparse Coding.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Early and Biologically-Inspired Vision ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors

Abstract: Automated recognition of low resolution face images from thumbnails represent a challenging image recognition problem. We propose the sequential fusion of wavelet transform computation, local binary pattern and sparse coding of images to accurately extract facial features from thumbnail images. A minimum distance classifier with Shepard's similarity measure is used as the classifier. The proposed method shows robust recognition performance when tested on face datasets (Yale B, AR and PUT) when compared against benchmark techniques for very low resolution (i.e. less than 45x45 pixels) face image recognition. The possible applications of the proposed thumbnail recognition include contextual search, intelligent image/video sorting and groups, and face image clustering.

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Paper citation in several formats:
Sudhakaran, S. and James, A. (2016). Low Resolution Sparse Binary Face Patterns.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3 VISAPP: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, ISSN 2184-4321, pages 186-191. DOI: 10.5220/0005782601860191

@conference{visapp16,
author={Swathikiran Sudhakaran. and Alex Pappachen James.},
title={Low Resolution Sparse Binary Face Patterns},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3 VISAPP: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={186-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005782601860191},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3 VISAPP: VISAPP, (VISIGRAPP 2016)
TI - Low Resolution Sparse Binary Face Patterns
SN - 978-989-758-175-5
AU - Sudhakaran, S.
AU - James, A.
PY - 2016
SP - 186
EP - 191
DO - 10.5220/0005782601860191

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