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Authors: Humayra Binte Ali 1 and David M. W. Powers 2

Affiliations: 1 Flinders University, Australia ; 2 Flinders University and Beijing University of Technology, Australia

ISBN: 978-989-758-074-1

Keyword(s): NMF-Non Negative Matrix Factorization, OEPA- Optimal Expression- specific Parts Accumulation, FR-Face Recognition, FER- Facial Expression Recognition.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Enterprise Information Systems ; Evolutionary Computing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Intelligent User Interfaces ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Symbolic Systems ; Vision and Perception

Abstract: Face and facial expression recognition is a broad research domain in machine learning domain. Non-negative matrix factorization (NMF) is a very recent technique for data decomposition and image analysis. Here we propose face identification system as well as a facial expression recognition, which is a system based on NMF. We get a significant result for face recognition. We test on CK+ and JAFFE dataset and we find the face identification accuracy is nearly 99% and 96.5% respectively. But the facial expression recognition (FER) rate is not as good as it required for the real life implementation. To increase the detection rate for facial expression recognition, our propose fusion based NMF, named as OEPA-NMF, where OEPA means Optimal Expression specific Parts Accumulation. Our experimental result shows OEPA-NMF outperforms the prevalence NMF for facial expression recognition. As face identification using NMF has a good accuracy rate, so we are not interested to apply OEPA-NMF f or face identification. (More)

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Paper citation in several formats:
Binte Ali, H. and M. W. Powers, D. (2015). Face and Facial Expression Recognition - Fusion based Non Negative Matrix Factorization.In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-074-1, pages 426-434. DOI: 10.5220/0005216004260434

@conference{icaart15,
author={Humayra Binte Ali. and David M. W. Powers.},
title={Face and Facial Expression Recognition - Fusion based Non Negative Matrix Factorization},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2015},
pages={426-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005216004260434},
isbn={978-989-758-074-1},
}

TY - CONF

JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Face and Facial Expression Recognition - Fusion based Non Negative Matrix Factorization
SN - 978-989-758-074-1
AU - Binte Ali, H.
AU - M. W. Powers, D.
PY - 2015
SP - 426
EP - 434
DO - 10.5220/0005216004260434

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