Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

Robust Face Recognition Based on DCNN and CRC

Authors
Li-Na Yuan, Feng Cen
Corresponding Author
Li-Na Yuan
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.23How to use a DOI?
Keywords
face recognition;sparse representation; collabora-tive representation;deep learning
Abstract
Collaborative representation based classification (CRC) has gained popularity in recent years, but the conventional features could not effectively handle the variations of pose and occlusion such as sunglass. In this paper, the deep convolution neural network (DCNN) is introduced in the feature extraction to tackle the facial deformation, particularly, such as pose variation. After analysis on the feasibility of the dictionary construction on DCNN based features, a DCNN feature based occlusion dictionary computing algorithm is then presented to tackle the face recognition with occlusion. Experiments on representative face databases with variations of pose and occlusion demonstrated the effectiveness of the proposed algorithm scheme.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
DOI
https://doi.org/10.2991/ceis-16.2016.23How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Li-Na Yuan
AU  - Feng Cen
PY  - 2016/11
DA  - 2016/11
TI  - Robust Face Recognition Based on DCNN and CRC
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ceis-16.2016.23
DO  - https://doi.org/10.2991/ceis-16.2016.23
ID  - Yuan2016/11
ER  -