Face recognition with one training image per person

Authors:
Jianxin Wu;Zhi-Hua Zhou
Affiliations:
National Laboratory for Novel Software Technology, Nanjing University, Hankou Road 22, Nanjing 210093, People's Republic of China;National Laboratory for Novel Software Technology, Nanjing University, Hankou Road 22, Nanjing 210093, People's Republic of China
Venue:
Pattern Recognition Letters
Year:
2002

Citing 11
Cited 34

Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces

IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to statistical pattern recognition (2nd ed.)

Introduction to statistical pattern recognition (2nd ed.)
Using Discriminant Eigenfeatures for Image Retrieval

IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic Visual Learning for Object Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition
Face Recognition: Features Versus Templates

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Active Appearance Models

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Face recognition: A literature survey

ACM Computing Surveys (CSUR)

Improvements on the linear discrimination technique with application to face recognition

Pattern Recognition Letters
Component-based LDA Method for Face Recognition with One Training Sample

AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
A novel method for detecting lips, eyes and faces in real time

Real-Time Imaging - Special issue on spectral imaging
Enhanced (PC)2 A for face recognition with one training image per person

Pattern Recognition Letters
A “stereo” document representation for textual information retrieval

Journal of the American Society for Information Science and Technology
Face recognition from a single image per person: A survey

Pattern Recognition
On solving the face recognition problem with one training sample per subject

Pattern Recognition
Face recognition using 2D and disparity eigenface

Expert Systems with Applications: An International Journal
Letters: Face and palmprint feature level fusion for single sample biometrics recognition

Neurocomputing
Application of image correction and bit-plane fusion in generalized PCA based face recognition

Pattern Recognition Letters
Overlapping on partitioned facial images

SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
Using backpropagation neural network for face recognition with 2D+3D hybrid information

Expert Systems with Applications: An International Journal
An approach for directly extracting features from matrix data and its application in face recognition

Neurocomputing
Robust, accurate and efficient face recognition from a single training image: A uniform pursuit approach

Pattern Recognition
A unified SWSI-KAMs framework and performance evaluation on face recognition

Neurocomputing
A fast approach for dimensionality reduction with image data

Pattern Recognition
Selecting discriminant eigenfaces for face recognition

Pattern Recognition Letters
Uncontrolled face recognition by individual stable neural network

PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
An integrated system for automatic face recognition

SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Single image subspace for face recognition

AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Mixture-of-Laplacian faces and its application to face recognition

PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Face recognition using discriminant locality preserving projections based on maximum margin criterion

Pattern Recognition
Fusing multiple features for Fourier Mellin-based face recognition with single example image per person

Neurocomputing
Improved recognition performance with LDA and ICA using vertically and horizontally partitioned facial images

SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Illumination robust single sample face recognition using multi-directional orthogonal gradient phase faces

Neurocomputing
Recognizing face or object from a single image: linear vs. kernel methods on 2d patterns

SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Neighbor line-based locally linear embedding

PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Post-processing on LDA's discriminant vectors for facial feature extraction

AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Robust face recognition from one training sample per person

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Feature selection for high dimensional face image using self-organizing maps

PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Survey: Subspace methods for face recognition

Computer Science Review
Augmented Small-Scale Database to Improve the Performance of Eigenface Recognition Technique

International Journal of Computer Vision and Image Processing
Nearest feature line discriminant analysis in DFRCT domain for image feature extraction

ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Adaptive discriminant learning for face recognition

Pattern Recognition

Quantified Score

Hi-index	0.10

Visualization

Abstract

At present there are many methods that could deal well with frontal view face recognition. However, most of them cannot work well when there is only one training image per person. In this paper, an extension of the eigenface technique, i.e. projection-combined principal component analysis, (PC)2A, is proposed. (PC)2A combines the original face image with its horizontal and vertical projections and then performs principal component analysis on the enriched version of the image. It requires less computational cost than the standard eigenface technique and experimental results show that on a gray-level frontal view face database where each person has only one training image, (PC)2A achieves 3-5% higher accuracy than the standard eigenface technique through using 10-15% fewer eigenfaces.