The 2013 face recognition evaluation in mobile environment
- Publication Type:
- Conference Proceeding
- Proceedings - 2013 International Conference on Biometrics, ICB 2013, 2013
- Issue Date:
Files in This Item:
|The 2013 Face Recognition Evaluation in Mobile Environment.pdf||1.23 MB|
Copyright Clearance Process
- Recently Added
- In Progress
- Open Access
This item is open access.
Automatic face recognition in unconstrained environments is a challenging task. To test current trends in face recognition algorithms, we organized an evaluation on face recognition in mobile environment. This paper presents the results of 8 different participants using two verification metrics. Most submitted algorithms rely on one or more of three types of features: local binary patterns, Gabor wavelet responses including Gabor phases, and color information. The best results are obtained from UNILJ-ALP, which fused several image representations and feature types, and UC-HU, which learns optimal features with a convolutional neural network. Additionally, we assess the usability of the algorithms in mobile devices with limited resources. © 2013 IEEE.
Please use this identifier to cite or link to this item: