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Solomon A. ADENIRAN's research works | Obafemi Awolowo ...
Normally 5-state HMM is used in the researches made for face recognition system. ... Reference: Face Recognition: A Survey One-Sample Face Recognition Using HMM Model of Fiducial Areas
 wjert, 2018, Vol. 4, Issue 4, 160-167. Original Article ...
alogrithm for one-sample face recognition using HMM Model of fiducial areas. It used 2D Discrete Wavelet Transform to extract features from images and Hidden Markov Model was used for training, recognition and classification. 90% recognition accuracy was recorded when tested on a subset of AT&T face database. Adedeji et.
Face Recognition Using Hidden Markov Models - MAFIADOC.COM
P2D-HMM model size 64 5.5.2 P2D-HMM image size 64 5.6 6 6 ... To date, however, no work in face recognition using HMMs has been found and this dissertation investigates some of the aspects involved in classifying faces using this method. The work shows that, through the integration of a priori structural knowledge with statistical information ......
Face recognition from a single image per person: A survey ...
1. Introduction. As one of the few biometric methods that possess the merits of both high accuracy and low intrusiveness, face recognition technology (FRT) has a variety of potential applications in information security, law enforcement and surveillance, smart cards, access control, among others , , .For this reason, FRT has received significantly increased attention from both the academic and ...
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]...
Automatic Attendance System for University Student Using ...
Fig. 1. Process in face recognition. The first step taken in face recognition is face detection. As explained above, face detection is the process of which computer searching for a face-like object in an input image. Face detection’s objective is to determine the existence of a face in the image. If the face exists, the output will be the...
 A paper presentation
Hidden Markov model (HMM) methods. Convolution Neural Network SOM learning based CNN methods . 1. EMBEDDED HIDDEN MARKOV MODEL (HMM): For frontal views the significant facial features appear in a natural order from top to bottom (forehead, eyes, nose, and mouth) and from left to right (e.g. left eye, right eye).
Age estimation via face images: a survey | SpringerLink
Facial aging adversely impacts performance of face recognition and face verification and authentication using facial features. This stochastic personalized inevitable process poses dynamic theoretical and practical challenge to the computer vision and pattern recognition community. Age estimation is labeling a face image with exact real age or age group....
PNAS Plus: Compound facial expressions of emotion
The problem with previous fiducial detection algorithms is that they assume the landmark points are visually salient. Many face areas are, however, homogeneous and provide only limited information about the shape of the face and the location of each fiducial. One solution to this problem is to add additional constraints . A logical constraint ......
Xiang Yu - Senior Researcher - NEC Laboratories America ...
San Francisco Bay Area 500 ... (HMM) to smooth the recognition results. Show more Show ... We firstly propose a holistic regression model to initialize the face fiducial points under different ...
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