IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Line Edge Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Retinal vision applied to facial features detection and face authentication
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
A Multi-View Facial Analysis Technique for Identity Authentication
IEEE Pervasive Computing
Support Vector Features and the Role of Dimensionality in Face Authentication
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Image Reconstruction from Gabor Magnitudes
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Features for robust face-based identity verification
Signal Processing
Fast features for face authentication under illumination direction changes
Pattern Recognition Letters
Face recognition using LDA mixture model
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Representation by Complex Cell Responses
Neural Computation
An RCE-based Associative Memory with Application to Human Face Recognition
Neural Processing Letters
On transforming statistical models for non-frontal face verification
Pattern Recognition
Generalized elastic graph matching for face recognition
Pattern Recognition Letters
Elastic shape-texture matching for human face recognition
Pattern Recognition
A probabilistic fusion methodology for face recognition
EURASIP Journal on Applied Signal Processing
A probabilistic model for face transformation with application to person identification
EURASIP Journal on Applied Signal Processing
Extraction of regions of interest from face images using cellular analysis
COMPUTE '08 Proceedings of the 1st Bangalore Annual Compute Conference
An analysis of facial expression recognition under partial facial image occlusion
Image and Vision Computing
Non-intrusive liveness detection by face images
Image and Vision Computing
Identity Management in Face Recognition Systems
Biometrics and Identity Management
Discriminative face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Robust features for frontal face authentication in difficult image conditions
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
A SVM face recognition method based on optimized Gabor features
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Modeling magnitudes of Gabor coefficients: the ß-Rayleigh distribution
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Face recognition in global harmonic subspace
IEEE Transactions on Information Forensics and Security
Computer Vision and Image Understanding
Combining geometric and gabor features for face recognition
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Illumination normalization for color face images
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
How to combat block replacement attacks?
IH'05 Proceedings of the 7th international conference on Information Hiding
Distance measures for gabor jets-based face authentication: a comparative evaluation
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Image decomposition and reconstruction using single sided complex Gabor wavelets
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
| Hi-index | 0.01 |
Elastic graph matching has been proposed as a practical implementation of dynamic link matching, which is a neural network with dynamically evolving links between a reference model and an input image. Each node of the graph contains features that characterize the neighborhood of its location in the image. The elastic graph matching usually consists of two consecutive steps, namely a matching with a rigid grid, followed by a deformation of the grid, which is actually the elastic part. The deformation step is introduced in order to allow for some deformation, rotation, and scaling of the object to be matched. This method is applied here to the authentication of human faces where candidates claim an identity that is to be checked. The matching error as originally suggested is not powerful enough to provide satisfying results in this case. We introduce an automatic weighting of the nodes according to their significance. We also explore the significance of the elastic deformation for an application of face-based person authentication. We compare performance results obtained with and without the second matching step. Results show that the deformation step slightly increases the performance, but has lower influence than the weighting of the nodes. The best results are obtained with the combination of both aspects. The results provided by the proposed method compare favorably with two methods that require a prior geometric face normalization, namely the synergetic and eigenface approaches