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» Using hidden Markov models and wavelets for face recognition
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ICCV
2001
IEEE
14 years 9 months ago
A Gabor Feature Classifier for Face Recognition
This paper describes a novel Gabor Feature Class$er (GFC)method forface recognition. The GFC method employs an enhanced Fisher discrimination model on an augmented Gabor feature v...
Chengjun Liu, Harry Wechsler
FGR
2006
IEEE
205views Biometrics» more  FGR 2006»
14 years 1 months ago
Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition
We present a novel tracking algorithm that uses dynamic programming to determine the path of target objects and that is able to track an arbitrary number of different objects. The...
Philippe Dreuw, Thomas Deselaers, David Rybach, Da...
TSMC
2008
95views more  TSMC 2008»
13 years 7 months ago
Natural Movement Generation Using Hidden Markov Models and Principal Components
Recent studies have shown that the perception of natural movements--in the sense of being "humanlike"--depends on both joint and task space characteristics of the movemen...
Junghyun Kwon, Frank C. Park
CIARP
2003
Springer
14 years 22 days ago
Online Handwritten Signature Verification Using Hidden Markov Models
Most people are used to signing documents and because of this, it is a trusted and natural method for user identity verification, reducing the cost of password maintenance and decr...
Juan J. Igarza, Iñaki Goirizelaia, Koldo Es...
ICPR
2008
IEEE
14 years 1 months ago
A Hidden Markov Model-based continuous gesture recognition system for hand motion trajectory
In this paper, we propose an automatic system that recognizes both isolated and continuous gestures for Arabic numbers (0-9) in real-time based on Hidden Markov Model (HMM). To ha...
Mahmoud Elmezain, Ayoub Al-Hamadi, Jörg Appen...