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The FERET database and evaluation procedure for face-recognition algorithms
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition
A novel Gabor-Fisher (1936) classifier (GFC) for face recognition is introduced, which applies the enhanced Fisher linear discriminant model (EFM) to an augmented Gabor feature vector derived from the Gabor wavelet representation of face images.
Micro-Doppler effect in radar: phenomenon, model, and simulation study
- V. Chen, F. Li, Shen-Shyang Ho, H. Wechsler
- PhysicsIEEE Transactions on Aerospace and Electronic…
- 6 March 2006
When, in addition to the constant Doppler frequency shift induced by the bulk motion of a radar target, the target or any structure on the target undergoes micro-motion dynamics, such as mechanical…
Digital image processing, 2nd ed.
- H. Wechsler
- Computer ScienceProceedings of the IEEE
- 1 September 1981
Tracking Groups of People
- S. McKenna, S. Jabri, Zoran Duric, A. Rosenfeld, H. Wechsler
- Computer ScienceComputer Vision and Image Understanding
- 1 October 2000
A computer vision system for tracking multiple people in relatively unconstrained environments is described and should provide a useful mechanism for bootstrapping and reinitialization of tracking using more specific but less robust human models.
Independent component analysis of Gabor features for face recognition
An independent Gabor features (IGFs) method and its application to face recognition is presented, which achieves 98.5% correct face recognition accuracy when using 180 features for the FERET dataset, and 100% accuracy for the ORL dataset using 88 features.
Comparative Assessment of Independent Component Analysis (ICA) for Face Recognition
Discriminant analysis shows that the ICA criterion, when carried out in the properly compressed and whitened space, performs better than the eigenfaces and Fisherfaces methods for face recognition, but its performance deteriorates when augmented by additional criteria such as the Maximum A Posteriori (MAP) rule of the Bayes classifier or the FLD.
Robust coding schemes for indexing and retrieval from large face databases
Two new coding schemes are introduced, probabilistic reasoning models (PRM) and enhanced FLD (Fisher linear discriminant) models (EFM), for indexing and retrieval of large image databases with applications to face recognition.
Evolutionary Pursuit and Its Application to Face Recognition
- Chengjun Liu, H. Wechsler
- Computer ScienceIEEE Transactions on Pattern Analysis and Machine…
- 1 June 2000
EP has better recognition performance than PCA (eigenfaces) and better generalization abilities than the Fisher linear discriminant (Fisherfaces).
Analysis of micro-Doppler signatures
Mechanical vibration or rotation of a target or structures on the target may induce additional frequency modulations on the returned radar signal which generate sidebands about the target's Doppler…