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Authors: Oscar Déniz 1 ; Gloria Bueno 1 ; Jesus Salido 2 and Fernando de la Torre 3

Affiliations: 1 E.T.S. Ingenieros Industriales, Spain ; 2 E. Superior de Informática, Spain ; 3 Carnegie Mellon University, United States

Keyword(s): Face recognition, Histogram of oriented gradients.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: Histograms of Oriented Gradients have been recently used as discriminating features for face recognition. In this work we improve on that work in a number of aspects. As a first contribution, it identifies the necessity of performing feature selection or transformation, especially if HOG features are extracted from overlapping cells. Second, the use of four different face databases allowed us to conclude that, if HOG features are extracted from facial landmarks, the error of landmark localization plays a crucial role in the absolute recognition rates achievable. This implies that the recognition rates can be lower for easier databases if landmark localization is not well adapted to them. This prompted us to extract the features from a regular grid covering the whole image. Overall, these considerations allow to obtain a significant recognition rate increase (up to 10% in some subsets) on the standard FERET database with respect to previous work.

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Paper citation in several formats:
Déniz, O.; Bueno, G.; Salido, J. and de la Torre, F. (2010). FACE RECOGNITION WITH HISTOGRAMS OF ORIENTED GRADIENTS. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP; ISBN 978-989-674-029-0; ISSN 2184-4321, SciTePress, pages 339-344. DOI: 10.5220/0002820503390344

@conference{visapp10,
author={Oscar Déniz. and Gloria Bueno. and Jesus Salido. and Fernando {de la Torre}.},
title={FACE RECOGNITION WITH HISTOGRAMS OF ORIENTED GRADIENTS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP},
year={2010},
pages={339-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002820503390344},
isbn={978-989-674-029-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 2: VISAPP
TI - FACE RECOGNITION WITH HISTOGRAMS OF ORIENTED GRADIENTS
SN - 978-989-674-029-0
IS - 2184-4321
AU - Déniz, O.
AU - Bueno, G.
AU - Salido, J.
AU - de la Torre, F.
PY - 2010
SP - 339
EP - 344
DO - 10.5220/0002820503390344
PB - SciTePress