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Recognizing Frontal Face Images Using Hidden Markov Models ...
In this paper, a low complexity 2-D Hidden Markov Model (HMM) Face Recognition (FR) system is introduced to provide a 2-D representation of the statistical features of the facial image, as opposed ...
Face Recognition Using Hidden Markov Models - MAFIADOC.COM
P2D-HMMs are defined and implemented for face recognition , giving improved experimental results which indicate that the model benefits from using a more efficient 2D representation. Chapter 6 compares the HMM-based approach with the Eigenface approach.
 LDA BASED FACE RECOGNITION BY USING HIDDEN MARKOV MODEL IN ...
Abstract: Hidden Markov model (HMM) is a promising method that works well for images with variations in lighting, facial expression, and orientation. Face recognition draws attention as a complex task due to noticeable changes produced on appearance by illumination, facial expression, size, orientation and other external factors....
Face Recognition Homepage - Algorithms
X. Liu, T. Chen, Video-Based Face Recognition Using Adaptive Hidden Markov Models, Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2003, Vol. I, 16-22 June 2003, Madison, Wisconsin, USA, pp. 340-345
Applying Hidden Markov Model for Face Recognition using ...
active research sub-area of face recognition. Finding effective algorithms that deal with this problem is the goal of this dissertation. In order to achieve the goal of building a system recognizing face images, we need a model that can capture selective spatial information. In this dissertation, a Hidden Markov Model (HMM) [10]...
Face Recognition using Neural Network - MAFIADOC.COM
1.3.4 Hidden Markov Model Stochastic modeling of nonstationary vector time series based on Hidden Markov Models (HMM) has been very successful for speech applications. Samaria and Fallside [21] applied this method to human face recognition.
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