Bilateral Random Projection based High-speed Face and Expression Recognition Method

Jieun Lee, Miran Heo, Yoonsik Choe

2019

Abstract

Face and expression recognition problem can be converted into superposition of low-rank matrix and sparse error matrix, which have the merits of robustness to occlusion and disguise. Low-rank matrix manifests neutral facial image and sparse matrix captures emotional expression with respect to whole image. To separate these matrices, the problem is formulated to minimize the nuclear norm and L1 norm, then can be solved by using a closed-form proximal operator which is called Singular Value Thresholding (SVD). However, this conventional approach has high computational complexity since it requires computation of singular value decomposition of large sized matrix at each iteration. In this paper, to reduce this computational burden, a fast approximation method for SVT is proposed, utilizing a suitable low-rank matrix approximation involving random projection. Basically, being associated with sampling, a low-rank matrix is modeled as bilateral factorized matrices, then update these matrices with greedy manner. Experiments are conducted on publicly available different dataset for face and expression recognition. Consequently, proposed algorithm results in the improved recognition accuracy and also further speeding up the process of approximating low-rank matrix, compared to the conventional SVT based approximation methods. The best recognition accuracy score of 98.1% in the JAFFE database is acquired with our method about 55 times faster than SVD based method.

Paper Citation

in Harvard Style

Lee J., Heo M. and Choe Y. (2019). Bilateral Random Projection based High-speed Face and Expression Recognition Method. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4, SciTePress, pages 99-106. DOI: 10.5220/0007346000990106

in Bibtex Style

@conference{visapp19,
author={Jieun Lee and Miran Heo and Yoonsik Choe},
title={Bilateral Random Projection based High-speed Face and Expression Recognition Method},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={99-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007346000990106},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: VISAPP
TI - Bilateral Random Projection based High-speed Face and Expression Recognition Method
SN - 978-989-758-354-4
AU - Lee J.
AU - Heo M.
AU - Choe Y.
PY - 2019
SP - 99
EP - 106
DO - 10.5220/0007346000990106
PB - SciTePress