Sorry, you need to enable JavaScript to visit this website.

facebooktwittermailshare

LOW RESOLUTION FACE RECOGNITION AND RECONSTRUCTION VIA DEEP CANONICAL CORRELATION ANALYSIS

Abstract: 

Low-resolution (LR) face identification is always a challenge in computer vision. In this paper, we propose a new LR face recognition and reconstruction method using deep canonical correlation analysis (DCCA). Unlike linear CCA-based methods, our proposed method can learn flexible nonlinear representations by passing LR and high-resolution (HR) image principal component features through multiple stacked layers of nonlinear transformation. As the nonlinear transformation in deep neural networks is implicit, we apply radial basis function based neural network to learn an explicit mapping between principal components and correlational features. In addition, we also design two residual compensation methods for identification and vision enhancement, respectively. The proposed approach is compared with existing LR face recognition and reconstruction algorithms. A number of experimental results on benchmark datasets have demonstrated the effectiveness and robustness of our method.

up
0 users have voted:

Paper Details

Authors:
Zhao Zhang, Yun-Hao Yuan, Xiao-Bo Shen, Yun Li
Submitted On:
13 April 2018 - 11:47am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Zhao Zhang
Paper Code:
2914
Document Year:
2018
Cite

Document Files

icassp2018-poster-wide.pdf

(25 downloads)

Subscribe

[1] Zhao Zhang, Yun-Hao Yuan, Xiao-Bo Shen, Yun Li, "LOW RESOLUTION FACE RECOGNITION AND RECONSTRUCTION VIA DEEP CANONICAL CORRELATION ANALYSIS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2722. Accessed: May. 26, 2018.
@article{2722-18,
url = {http://sigport.org/2722},
author = {Zhao Zhang; Yun-Hao Yuan; Xiao-Bo Shen; Yun Li },
publisher = {IEEE SigPort},
title = {LOW RESOLUTION FACE RECOGNITION AND RECONSTRUCTION VIA DEEP CANONICAL CORRELATION ANALYSIS},
year = {2018} }
TY - EJOUR
T1 - LOW RESOLUTION FACE RECOGNITION AND RECONSTRUCTION VIA DEEP CANONICAL CORRELATION ANALYSIS
AU - Zhao Zhang; Yun-Hao Yuan; Xiao-Bo Shen; Yun Li
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2722
ER -
Zhao Zhang, Yun-Hao Yuan, Xiao-Bo Shen, Yun Li. (2018). LOW RESOLUTION FACE RECOGNITION AND RECONSTRUCTION VIA DEEP CANONICAL CORRELATION ANALYSIS. IEEE SigPort. http://sigport.org/2722
Zhao Zhang, Yun-Hao Yuan, Xiao-Bo Shen, Yun Li, 2018. LOW RESOLUTION FACE RECOGNITION AND RECONSTRUCTION VIA DEEP CANONICAL CORRELATION ANALYSIS. Available at: http://sigport.org/2722.
Zhao Zhang, Yun-Hao Yuan, Xiao-Bo Shen, Yun Li. (2018). "LOW RESOLUTION FACE RECOGNITION AND RECONSTRUCTION VIA DEEP CANONICAL CORRELATION ANALYSIS." Web.
1. Zhao Zhang, Yun-Hao Yuan, Xiao-Bo Shen, Yun Li. LOW RESOLUTION FACE RECOGNITION AND RECONSTRUCTION VIA DEEP CANONICAL CORRELATION ANALYSIS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2722