Image Analysis Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
The annealing algorithm
Morphological Shape Decomposition
IEEE Transactions on Pattern Analysis and Machine Intelligence
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.)
Pattern recognition: statistical, structural and neural approaches
Pattern recognition: statistical, structural and neural approaches
Comparison Between the Morphological Skeleton and Morphological Shape Decomposition
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: The Problem of Compensating for Changes in Illumination Direction
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Algorithm for the Learning of Weights in Discrimination Functions Using a Priori Constraints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition Robust Under Translations, Deformations, and Changes in Background
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image-based multimodal face authentication
Signal Processing
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
The M2VTS Multimodal Face Database (Release 1.00)
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
Phantom Faces for Face Analysis
CAIP '97 Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns
Rule-based face detection in frontal views
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Frontal face authentication using discriminating grids withmorphological feature vectors
IEEE Transactions on Multimedia
Efficient morphological shape representation
IEEE Transactions on Image Processing
Matching pursuit filters applied to face identification
IEEE Transactions on Image Processing
Face authentication with Gabor information on deformable graphs
IEEE Transactions on Image Processing
Identity Management in Face Recognition Systems
Biometrics and Identity Management
Computer Vision and Image Understanding
Class-specific discriminant non-negative matrix factorization for frontal face verification
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Information fusion for local gabor features based frontal face verification
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Recognizing hand gestures using the weighted elastic graph matching (WEGM) method
Image and Vision Computing
HEGM: A hierarchical elastic graph matching for hand gesture recognition
Pattern Recognition
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In this paper a novel method for frontal face verification is proposed. It is based on the morphological signal decomposition , a procedure that is used to model a facial image region as a sum of components. During the procedure, partial sums of components create a sequence of reconstructed images which starts with a crude approximation of the facial region that recursively becomes finer. More specifically, a feature vector is created at each node of a sparse grid superimposed on the facial area by concatenating the gray level values of the reconstructed images at the grid node position. When a candidate person claims the identity of a reference person, a variant of dynamic link matching, the so-called morphological signal decomposition--dynamic link architecture, is applied to yield a matching error between the reference grid and a variable grid that is built over the facial image region of the candidate person. Local coefficients are derived to weigh the contribution of each node to the total matching error according to the node discriminatory power. Moreover, an analysis of the discriminatory power of each level in morphological signal decomposition is undertaken to assess better the behavior of the proposed method. Experimental results are reported on the M2VTS facial image database yielding a very low equal error rate.