Evolutionary Pursuit and Its Application to Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithm 820: A flexible implementation of matching pursuit for Gabor functions on the interval
ACM Transactions on Mathematical Software (TOMS)
The Problem of Sparse Image Coding
Journal of Mathematical Imaging and Vision
Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
Identity verification by relative 3-D structure using multiple facial images
Pattern Recognition Letters
Sparse Representation for Coarse and Fine Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A method of face recognition based on fuzzy clustering and parallel neural networks
Signal Processing - Special section: Advances in signal processing-assisted cross-layer designs
Face recognition using point symmetry distance-based RBF network
Applied Soft Computing
A Component-based Framework for Face Detection and Identification
International Journal of Computer Vision
Face recognition using elastic local reconstruction based on a single face image
Pattern Recognition
eigenPulse: Robust human identification from cardiovascular function
Pattern Recognition
A methodology for rapid illumination-invariant face recognition using image processing filters
Computer Vision and Image Understanding
Multiresolution face recognition
Image and Vision Computing
IEEE Transactions on Fuzzy Systems
A Bayesian approach to audio-visual speaker identification
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Visual detection of hexagonal headed bolts using method of frames and matching pursuit
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Matching Pursuits with random sequential subdictionaries
Signal Processing
Heteroscedastic Sparse Representation Based Classification for Face Recognition
Neural Processing Letters
Improving the Prediction of Clinical Outcomes from Genomic Data Using Multiresolution Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Dictionary-based face recognition from video
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Automated identification of thoracolumbar vertebrae using orthogonal matching pursuit
Machine Vision and Applications
Hi-index | 0.01 |
We present a face identification algorithm that automatically processes an unknown image by locating and identifying the face. The heart of the algorithm is the use of pursuit filters. A matching pursuit filter is an adapted wavelet expansion, where the expansion is adapted to both the data and the pattern recognition problem being addressed. For identification, the filters find the features that differentiate among faces, whereas, for detection, the filters encode the similarities among faces. The filters are designed though a simultaneous decomposition of a training set into a two-dimensional (2-D) wavelet expansion. This yields a representation that is explicitly 2-D and encodes information locally. The algorithm uses coarse to fine processing to locate a small set of key facial features, which are restricted to the nose and eye regions of the Face. The result is an algorithm that is robust to variations in facial expression, hair style, and the surrounding environment. Based on the locations of the facial features, the identification module searches the data base for the identity of the unknown face using matching pursuit filters to make the identification. The algorithm was demonstrated on three sets of images. The first set was images from the FERET data base. The second set was infrared and visible images of the same people. This demonstration was done to compare performance on infrared and visible images individually, and on fusing the results from both modalities. The third set was mugshot data from a law enforcement application