Gabor wavelet transform based facial expression recognition using PCA and LBP

Abdulrahman, Muzammil; Tajuddeen, Gwadabe,; Abdu, Fahad Jibrin; Eleyan, Alaa

doi:10.1109/siu.2014.6830717

Cited by 74 publications

(35 citation statements)

References 17 publications

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“…In [18] A Facial Expression recognition system was introduced using PCA to classify human emotions. In [19] Gabor Wavelet, PCA and Local Binary Pattern (LBP) based facial expression recognition algorithm was proposed where PCA or LBP were used for dimension reduction. In [20] a scalar based template was proposed for face recognition in reduced Eigen plane.…”

Section: Previous Workmentioning

confidence: 99%

Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet, Eigen and Fisher Analysis

De¹,

Parekh²

2015

IJCA

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This paper studies recognition of human faces using wavelet transform, Eigen space mapping and Linear Discriminant Analysis/Fisher Analysis (LDA). Histogram Equalization is chosen as a preprocessing step to reduce the effect of variation in illumination on human faces. The preprocessed faces are then subjected to second level wavelet (Haar) decomposition for further calculation. Feature extraction is performed using Eigen space mapping followed by LDA on the second level approximation matrix (LL sub band). Manhattan distance is used as a classifier. The proposed scheme is tested on illumination and expression variant different face databases for performance evaluation.

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Section: Previous Workmentioning

confidence: 99%

Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet, Eigen and Fisher Analysis

De¹,

Parekh²

2015

IJCA

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“…Later the same year, a system using LGBP for AU based FER won the AU recognition sub-challenge of FERA2011 [35]. As recent as 2014, a new paper on entity based FER using LGBP was published by [52]. The authors seems to be unaware of the previous use of LGBP, as they make no notes or citations to the two articles listed above.…”

Section: Binary Flavored Featuresmentioning

confidence: 99%

Binary pattern flavored feature extractors for Facial Expression Recognition: An overview

Kristensen

Guo

2015

2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

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This paper conducts a survey of modern binary pattern flavored feature extractors applied to the Facial Expression Recognition (FER) problem. In total, 26 different feature extractors are included, of which six are selected for in depth description. In addition, the paper unifies important FER terminology, describes open challenges, and provides recommendations to scientific evaluation of FER systems. Lastly, it studies the facial expression recognition accuracy and blur invariance of the Local Frequency Descriptor. The paper seeks to bring together disjointed studies, and the main contribution is to provide a solid overview for future research.

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“…For expression classification discriminative features were considered by further patches obtained from active patches. Feature extraction by Gabor filter with local binary pattern and dimensional reduction of high dimensional data concept is introduced by Abdulrahman et al [47]. Liu et al (2012) [48] has been carried out facial expression recognition based on the fusion of geometry features and texture features.…”

Section: Introductionmentioning

confidence: 99%

Subspace based Expression Recognition Using Combinational Gabor based Feature Fusion

Hegde¹,

Seetha²

2017

IJIGSP

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Abstract-This paper demonstrates mainly on enhancement of extracted feature and proposes a novel approach for feature level fusion for efficient expression recognition. Extracted Gabor filter magnitude feature vector has been fused with upper face part geometrical features and Gabor phase feature vector has been fused with lower face part geometrical features respectively. Both these high dimensional feature dataset have been projected into low dimensional subspace for decorrelating the feature data redundancy by preserving local and global discriminative features of various expression classes of JAFFE, YALE and FD databases. The effectiveness of subspace of fused dataset has been measured with different dimensional parameters of Gabor filter. The experimental results reveal that performance of the subspace approaches for high dimensional proposed feature level fused dataset yields higher accuracy rates compared to state of art approaches.

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Gabor wavelet transform based facial expression recognition using PCA and LBP

Cited by 74 publications

References 17 publications

Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet, Eigen and Fisher Analysis

Illumination and Expression Invariant Automatic Human Face Recognition using Wavelet, Eigen and Fisher Analysis

Binary pattern flavored feature extractors for Facial Expression Recognition: An overview

Subspace based Expression Recognition Using Combinational Gabor based Feature Fusion

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