Self-organizing maps
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Accuracy Improvement of Handwritten Numeral Recognition by Mirror Image Learning
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Redundant Class-Dependence Feature Analysis Based on Correlation Filters Using FRGC2.0 Data
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
IEEE Transactions on Pattern Analysis and Machine Intelligence
Total Variation Models for Variable Lighting Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Description with Local Binary Patterns: Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
2D vs. 3D Deformable Face Models: Representational Power, Construction, and Real-Time Fitting
International Journal of Computer Vision
Enhancement of Neuro-eigenspace Face Recognition Using Photometric Normalization
CGIV '07 Proceedings of the Computer Graphics, Imaging and Visualisation
Journal of Cognitive Neuroscience
Nonparametric Discriminant Analysis for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
An image preprocessing algorithm for illumination invariant face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
IEEE Transactions on Image Processing
A Subspace Model-Based Approach to Face Relighting Under Unknown Lighting and Poses
IEEE Transactions on Image Processing
An Example-Based Face Hallucination Method for Single-Frame, Low-Resolution Facial Images
IEEE Transactions on Image Processing
An improved algorithm for face recognition using wavelet and facial parameters
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
| Hi-index | 0.00 |
In this paper, a discriminated correlation classifier is proposed to improve the performance of the two-dimensional (2-D) face recognition algorithm. Until now, many methods have been proposed to address the problems encountered by face recognition system, such as small number problem, pose and illumination variation, etc. All these works are aiming at enhancing the performance of the face recognition system. However, as far as we know, few work are concerning about how to improve the classifier, whose performance directly determines the final recognition accuracy. So, in this paper, our motivation is to improve the performance of correlation classifier, which is widely used in face recognition problems, to improve the recognition accuracy. Inspired by a correlation filter design method called Minimal Average Correlation Energy(MACE) filter, we propose a novel classifier called Discriminated Semi-Normalized Correlation (DSNC) classifier using our discriminative learning method. Compared with the classical discriminative learning methods that need many intra-class samples and can only be applied on close set recognition problems, our method needs only one intra-class sample and can be performed on open set face recognition problem. The validity of our method is tested on two benchmark face database(FRGC2.0 and FERET), and a private face database(THFaceID).