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Gabor-based kernel pca with fractional power polynomial models for face recognition
2004
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Index Terms -Face recognition, fractional power polynomial models, Gabor wavelet representation, Gabor-based kernel PCA method, kernel Principal Component Analysis (PCA) Face recognition involves computer ...
against the PCA method, the kernel PCA method with polynomial kernels, the kernel PCA method with fractional power polynomial models, the Gabor wavelet based PCA method, and the Gabor wavelet based kernel ...
The class of new methods he has developed includes the Bayesian Discriminating Features method (BDF), the Probabilistic Reasoning Models (PRM), the Enhanced Fisher Models (EFM), the Enhanced Independent ...
doi:10.1109/tpami.2004.1273927
pmid:15460279
fatcat:meppzhavfbajjlpmkgkzs24nmy
Face Recognition using Discriminant Face Features Extraction method
2017
International Journal of Recent Trends in Engineering and Research
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This is because the human face changes with respect to internal factors like facial expression, beard and mustache, glasses etc and it is also affected by external factors like scale, lightning conditions ...
A bunch of papers have been published to overcome difference factors (such as illumination, expression, scale, pose, etc) and achieve better recognition rate, while there is still no robust technique against ...
The IGF method derives first a Gabor feature vector based upon a set of down sampled Gabor wavelet representations of face images by incorporating different orientation and scale local features. ...
doi:10.23883/ijrter.2017.3061.shhl1
fatcat:72pikkpoyrfczepa3tuzoprdbu
Facial Feature Extraction Based on Local Color and Texture for Face Recognition using Neural Network
2013
International Journal of Science and Engineering Applications
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For the purpose of face recognition (FR), the new color local texture features, i.e., color local Gabor wavelets (CLGWs) and color local binary pattern (CLBP), are being proposed. ...
Particularly, compared with gray scale texture features, the proposed color local texture features are able to provide excellent recognition rates for face images taken under severe variation in illumination ...
ܧ െ ܸܩ െ ܲܤܮ ൌ 2 ܵ ܫሺ െ ܿܫሻ ୀ The E-GV-LBP codes based upon 40 Gabor magnitudes and phase faces for an input face image. ...
doi:10.7753/ijsea0204.1005
fatcat:2v2holnbzvawnlxd4vuibcl5ha
A Review: Facial Expression Detection with its Techniques and Application
2016
International Journal of Signal Processing, Image Processing and Pattern Recognition
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Facial Expression Recognition system is used in security. ...
Facial expression recognition is a example where computer and humans underperforms. It has most importance for the video retrieval and video based management classification. ...
Steps of Emotion Extraction
Face Detection Face detection is the very first step of emotion recognition based on facial expression and also in face alignment, face relighting, face modeling, face recognition ...
doi:10.14257/ijsip.2016.9.6.13
fatcat:cyiuzx4w55eo7oc4ocrmgcmacm
A Review on Biometric Recognition
2014
International Journal of Bio-Science and Bio-Technology
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Face Recognition, Iris Recognition, Palm Recognition; Voice Recognition, Fingerprint Recognition, ECG signal based recognition methods are used for identification. ...
Different techniques are used to extract the features for recognition. ...
Further development to wavelet transform has been done using 2-D Haar wavelet transform. Earlier methods proposed for iris recognition were based on Gabor wavelet processing to iris images. ...
doi:10.14257/ijbsbt.2014.6.4.07
fatcat:6tsj3d2it5acfbgiblsvvrzgoy
Gabor-Based Kernel Partial-Least-Squares Discrimination Features for Face Recognition
2009
Informatica
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The paper presents a novel method for the extraction of facial features based on the Gabor-wavelet representation of face images and the kernel partial-least-squares discrimination (KPLSD) algorithm. ...
In the first step a set of forty Gabor wavelets is used to extract discriminative and robust facial features, while in the second step the kernel partial-least-squares discrimination technique is used ...
The presented approach, called the Gabor-Fisher Classifier (GFC), combined Gabor-filter-based methods with appearance-based techniques and proved to be highly effective in ensuring better recognition rates ...
doi:10.15388/informatica.2009.240
fatcat:4grgyhh4lvcbrlp7uiarquzqhm
Gabor Features and Support Vector Machine for Face Identification(BIOMETRICS AND ITS APPLICATIONS)
2009
International journal of biomedical soft computing and human sciences
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combined with SVM to build a two-class basedfoce recognition optstem. ...
A Shrlrport Vbctor MZichine (SVAny foce identij7cation neethod using optirnized Gabor.features is presented in this papen 200 Gabor .12iatures are ,first selected Lly a boosting aigorithm, which are then ...
cost of the fo11owing subspace
training, Their Gabor-based
enhanced
Fisher 1inear discriminant model outper-
forms Gabor PCA and Gabor Fisherfaces. ...
doi:10.24466/ijbschs.14.1_61
fatcat:uuustq2evvahxno46oov677ljq
Recognizing facial emotions for educational learning settings
2022
IAES International Journal of Robotics and Automation
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The emotions can be recognized by tracking explicit behaviors of the learner like facial or vocal expressions. ...
This paper presents a facial emotion recognition technique (FERT). The FERT is realized through results of preliminary analysis across various facial feature descriptors. ...
For instance, by tracking implicit parameters, including, speech recognition [13] , [14] facial expression recognition [15] - [17] , physiological means [18] , [19] body gesture recognition [20 ...
doi:10.11591/ijra.v11i1.pp21-32
fatcat:76m2seshi5hqhbu45zx2s3e6ou
Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance
2006
IEEE Transactions on Pattern Analysis and Machine Intelligence
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In particular, the framework integrates Gabor image representation, a novel multiclass Kernel Fisher Analysis (KFA) method, and fractional power polynomial models for improving pattern recognition performance ...
Experimental results using the FRGC databases show that the proposed pattern recognition framework improves face recognition performance upon the BEE baseline algorithm and the LDA-based baseline algorithm ...
Gabor image representation further addresses image variabilities caused by illumination, facial expression, etc. ...
doi:10.1109/tpami.2006.90
pmid:16640259
fatcat:jg2r2j5jxzebnjhmtoo6yfmxhq
The Complete Gabor-Fisher Classifier for Robust Face Recognition
2010
EURASIP Journal on Advances in Signal Processing
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This paper develops a novel face recognition technique called Complete Gabor Fisher Classifier (CGFC). ...
presence of partial occlusions of the facial area, changes in facial expression, or severe illumination changes. ...
Gabor Filter Construction. Gabor filters (also called Gabor wavelets or kernels) have proven themselves to be a powerful tool for facial feature extraction and robust face recognition. ...
doi:10.1155/2010/847680
fatcat:m4ciuf45vfapfa6dpekqegezqi
Review of Technical Approaches to Face Recognition with Varying Pose and Illumination in Unconstrained Scenes
2017
FUOYE Journal of Engineering and Technology
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In this paper, a review of some technical approaches to face recognition challenged with varying illumination and pose is conducted. ...
However, a number of technical approaches have been developed to manage these nuisance factors to make recognition possible and optimal. ...
As an improvement over hierarchical ensemble of Fourier transform and Gabor wavelet features, Discrete Fourier Transform (DFT) and Gabor Wavelet Transform (GWT) feature vectors were fused using Region-Based ...
doi:10.46792/fuoyejet.v2i1.48
fatcat:ghvgu2wlanesbixp7cbcsjmm2y
Template Based Pose and Illumination Invariant Face Recognition
2020
International journal of recent technology and engineering
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This article presents a method "Template based pose and illumination invariant face recognition". ...
Furthermore, a lot of 2D genuine Gabor wavelet with various orientations is utilized for image change, and numerous Gabor coefficients are consolidated into one entire in thinking about spectrum and phase ...
As of late, the Gabor wavelet change has been broadly utilized as a successful component in face recognition. ...
doi:10.35940/ijrte.e6161.018520
fatcat:tkffh2sexbftbfhcvevlplkmyq
Review on Face Recognition across Age Progression
2017
International Journal of Recent Trends in Engineering and Research
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Face recognition across aging is a challenging task which poses theoretical and practical challenges to the research community since facial aging has high impact on facial recognition task. ...
Face recognition is one of the most successful applications for many years of emergent research on image analysis. ...
Author has described these descriptors as standalone entities not combined with Gabor wavelets, where the descriptors are applied to Gabor magnitude and Gabor phase images.
III. ...
doi:10.23883/ijrter.2017.3215.txuqg
fatcat:qva2lvei2vfbzkhkxlyrwtf2r4
An Adaptive Face Recognition System Based on a Novel Incremental Kernel Nonparametric Discriminant Analysis
2019
KSII Transactions on Internet and Information Systems
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In order to perform face recognition effectively, we combine the Gabor features and the ordinal measures to extract the facial features that are coded across local parts, as visual primitives. ...
This paper introduces an adaptive face recognition method based on a Novel Incremental Kernel Nonparametric Discriminant Analysis (IKNDA) that is able to learn through time. ...
The Gabor filters are expressed as follows [17] : (1) Where ∈ {0, … ,4} and ∈ {0, … ,7} are the scale and orientation of the Gabor wavelets, respectively, and = ( , )denotes the spatial position. ...
doi:10.3837/tiis.2019.04.022
fatcat:zdmcgbk3rbajpaaddddcbtatli
From Gabor Magnitude to Gabor Phase Features: Tackling the Problem of Face Recognition under Severe Illumination Changes
[chapter]
2010
Face Recognition
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features and then applies a variant of the multi-class linear discriminant analysis called the Enhanced Fisher discriminant Model (EFM) to the constructed Gabor feature vector to improve the vector's ...
Review of Gabor filters for face recognition
Gabor filter construction Gabor filters (sometimes also called Gabor wavelets or kernels) have proven to be a powerful tool for facial feature extraction. ...
PCA, LDA, artificial neural networks, wavelets, curvelets, kernel methods, Gabor filters, active appearance models, 2D and 3D representations, optical correlation, hidden Markov models and others. ...
doi:10.5772/8938
fatcat:yi5whhbkmzferdsnr464rqph6u
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