Automatic extraction of face-features
Pattern Recognition Letters
Fractals everywhere
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fractal image compression
Feature extraction from faces using deformable templates
International Journal of Computer Vision
Fractal image compression: theory and application
Fractal image compression: theory and application
Active shape models—their training and application
Computer Vision and Image Understanding
The nature of statistical learning theory
The nature of statistical learning theory
3-D shape recovery using a deformable model
BMVC 94 Proceedings of the conference on British machine vision (vol. 2)
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Trace Transform and Its Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision
Digital Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Line Edge Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition through Geometrical Features
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Support Vector Machine Ensemble with Bagging
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Feature-Based Face Recognition Using Mixture-Distance
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
A mixed triangular and quadrilateral partition for fractal image coding
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Novel fractal image compression method with non-iterative decoder
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Accelerating fractal image compression by multi-dimensional nearest neighbor search
DCC '95 Proceedings of the Conference on Data Compression
Kernel Eigenfaces vs. Kernel Fisherfaces: Face Recognition Using Kernel Methods
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Smiling Faces are Better for Face Recognition
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Face Recognition From One Example View
Face Recognition From One Example View
Local feature analysis: a statistical theory for information representation and transmission
Local feature analysis: a statistical theory for information representation and transmission
3-D Face Modeling Using Two Views and a Generic Face Model with Application to 3-D Face Recognition
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Kernel independent component analysis
The Journal of Machine Learning Research
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Gabor-Based Kernel PCA with Fractional Power Polynomial Models for Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Survey Of Approaches To Three-Dimensional Face Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Face Recognition Using Face-ARG Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition from a single image per person: A survey
Pattern Recognition
The Representation and Matching of Pictorial Structures
IEEE Transactions on Computers
Journal of Cognitive Neuroscience
An information-theoretic approach to face recognition from face motion manifolds
Image and Vision Computing
Component-based face recognition with 3D morphable models
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Face authentication using the trace transform
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Face recognition using the weighted fractal neighbor distance
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Facial expression recognition from line-based caricatures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fractal image compression based on Delaunay triangulation and vector quantization
IEEE Transactions on Image Processing
FIRE: fractal indexing with robust extensions for image databases
IEEE Transactions on Image Processing
Face recognition: a convolutional neural-network approach
IEEE Transactions on Neural Networks
Face recognition/detection by probabilistic decision-based neural network
IEEE Transactions on Neural Networks
Face recognition by independent component analysis
IEEE Transactions on Neural Networks
High-speed face recognition based on discrete cosine transform and RBF neural networks
IEEE Transactions on Neural Networks
Ensemble-based discriminant learning with boosting for face recognition
IEEE Transactions on Neural Networks
International Journal of Applied Mathematics and Computer Science
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There has been an increasing interest in face recognition in recent years. Many recognition methods have been developed so far, some very encouraging. A key remaining issue is the existence of variations in the input face image. Today, methods exist that can handle specific image variations. But we are yet to see methods that can be used more effectively in unconstrained situations. This paper presents a method that can handle partial translation, rotation, or scale variations in the input face image. The principal is to automatically identify objects within images using their partial self-similarities. The paper presents two recognition methods which can be used to recognise objects within images. A face recognition system is then presented that is insensitive to limited translation, rotation, or scale variations in the input face image. The performance of the system is evaluated through four experiments. The results show that the system achieves higher recognition rates than those of a number of existing approaches.