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Facial expression recognition using Gabor motion energy filters

Tingfan Wu, Marian S. Bartlett, Javier R. Movellan
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops  
In this paper we explore Gabor motion energy filters (GME) as a biologically inspired representation for dynamic facial expressions.  ...  Spatial Gabor energy filters (GE) are one of the most successful approaches to represent facial expressions in computer vision applications, including face recognition and expression analysis.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.1109/cvprw.2010.5543267 dblp:conf/cvpr/WuBM10 fatcat:zjjzfznhabg3jnobjmgs6w244u

Audio-visual twins database

Jing Li, Li Zhang, Dong Guo, Shaojie Zhuo, Terence Sim
2015 2015 International Conference on Biometrics (ICB)  
This database contains several face images, facial motion videos and audio records for each subject.  ...  We also show our experiments on face verification, facial motion verification and speaker verification for twins to provide usage examples of the database. 2.  ...  The expression motion videos could be useful in two ways: (1) they can be used as the video samples for twins facial motion recognition; (2) images with different expressions (such as Figure 3 ) could  ... 
doi:10.1109/icb.2015.7139115 dblp:conf/icb/LiZGZS15 fatcat:c6vtijt2gvei3apmya3dtkgw34

Recognition of Facial Gestures using Gabor Filter

Subhashini Ramalingam, Ilango Paramasivam, Mangayarkarasi Ramiah
2011 International Journal of Computer Applications  
The core objective of the proposed work is to detect and recognize various facial gestures that are present in a given image using Gabor filter and use it for automation.  ...  The performance of the proposed method is evaluated using Gabor filtering and compared with the other methods namely wavelet and neural networks.  ...  There are two main ways to in doing facial analysis they are using static images [12] , [13] and another is using motion video facial expression.  ... 
doi:10.5120/3153-3990 fatcat:7d2yilmnezeovltzwmnbdig7ra

Automatic recognition of facial expressions in image sequences: A review

R A Patil, Vineet Sahula, A. S. Mandal
2010 2010 5th International Conference on Industrial and Information Systems  
Automatic facial expression recognition systems can be mainly used for human computer interaction and data driven animation.  ...  There are three sub problems while designing automatic facial expression recognition system, face detection, extraction of the facial expression information, and classification of the expression.  ...  Black and Yacoob [7] made the use of local parametrized models of image motion for facial expression recognition.  ... 
doi:10.1109/iciinfs.2010.5578670 fatcat:fjmsqip2p5etbnpp7ojx26sa7y

Automatic Facial Expression Recognition [chapter]

Huchuan Lu, Pei Wu, Hui Lin, Deli Yang
2006 Lecture Notes in Computer Science  
Some of the most successful facial expression recognition systems to date utilize Gabor Energy Filters.  ...  Out of all the feature types used in expression recognition, the Gabor Energy Filter enjoys probably the strongest motivation from neurobiology: It is now well-known that Gabor Energy filters approximate  ... 
doi:10.1007/11760023_10 fatcat:p37v3o3pbngu5mu4ykdijf4bjm

Automatic Facial Expression Recognition [chapter]

Jacob Whitehill, Marian Stewart Bartlett, Javier R. Movellan
2013 Social Emotions in Nature and Artifact  
Some of the most successful facial expression recognition systems to date utilize Gabor Energy Filters.  ...  Out of all the feature types used in expression recognition, the Gabor Energy Filter enjoys probably the strongest motivation from neurobiology: It is now well-known that Gabor Energy filters approximate  ... 
doi:10.1093/acprof:oso/9780195387643.003.0007 fatcat:2pvwuer7w5g5ndjoxt2evbyqtu

Multi-Level Haar Wavelet based Facial Expression Recognition using Logistic Regression

Mahesh Goyani, Narendra Patel
2017 Indian Journal of Science and Technology  
Recognition of facial expression is important in industrial automation, security, medical and many other fields.  ...  Background/Objective: Facial expressions play an equally important role as verbal communication and tonal expressions.  ...  Wu et al. 13 proposed Biologically inspired Gabor Motion Energy (GME) filter is implemented by adding 1D temporal filters on top of Gabor Energy (GE) filter.  ... 
doi:10.17485/ijst/2017/v10i9/108944 fatcat:viq3isznjnhsze4a6la3dxiusq

Novel representation for driver emotion recognition in motor vehicle videos

Rajkumar Theagarajan, Bir Bhanu, Albert Cruz, Belinda Le, Asongu Tambo
2017 2017 IEEE International Conference on Image Processing (ICIP)  
Almaev [9] combined the original Gabor filter with LBP-TOP and noticed increased accuracy in classification of facial expressions compared to using only LBP-TOP.  ...  Gabor energy filter captures all edges and magnitudes, including edges from noise due to background texture.  ... 
doi:10.1109/icip.2017.8296393 dblp:conf/icip/TheagarajanBCLT17 fatcat:nnqjfe4hfrdnro2ggdhantlilm

Facial expression recognition using tracked facial actions: Classifier performance analysis

Fadi Dornaika, Abdelmalik Moujahid, Bogdan Raducanu
2013 Engineering applications of artificial intelligence  
In this paper, we address the analysis and recognition of facial expressions in continuous videos.  ...  These are provided by an appearance-based 3D face tracker that simultaneously provides the 3D head pose and facial actions. The use of such tracker makes the recognition pose-and textureindependent.  ...  Wu et al. (2010) explore Gabor motion energy (GME) filters as a biologically inspired representation for dynamic facial expressions.  ... 
doi:10.1016/j.engappai.2012.09.002 fatcat:7hrsjw37u5dzddmlmzpabvufmu

A Neural Network Based Facial Expression Analysis Using Gabor Wavelets

Praseeda Lekshmi.V, Dr.M.Sasikumar
2008 Zenodo  
Radial Basis Function (RBF) Network is used to classify the facial expressions.  ...  In this paper we present a method to analyze facial expression from images by applying Gabor wavelet transform (GWT) and Discrete Cosine Transform (DCT) on face images.  ...  Facial expression recognition deals with classification of facial motion and facial feature deformation in to abstract classes that are purely based on visual information.  ... 
doi:10.5281/zenodo.1057806 fatcat:rrfdmjtdvveqbcxnu7sis6rrri

Background suppressing Gabor energy filtering

Albert C. Cruz, Bir Bhanu, Ninad S. Thakoor
2015 Pattern Recognition Letters  
In the field of facial emotion recognition, early research advanced with the use of Gabor filters. However, these filters lack generalization and result in undesirably large feature vector size.  ...  In this paper, we propose a novel texture feature inspired by Gabor energy filters, called background suppressing Gabor energy filtering.  ...  [34] addressed this by extending the Gabor filter to temporal domain with Gabor motion energy features.  ... 
doi:10.1016/j.patrec.2014.10.001 fatcat:tw73sgwqyfb6xmhdlyxvhd6hw4

Discrimination of Moderate and Acute Drowsiness Based on Spontaneous Facial Expressions

Esra Vural, Marian Bartlett, Gwen Littlewort, Mujdat Cetin, Aytul Ercil, Javier Movellan
2010 2010 20th International Conference on Pattern Recognition  
The effect of temporal dynamics of action units on prediction performances is explored by capturing temporal dynamics using an overcomplete representation of temporal Gabor Filters.  ...  In our previous study, spontaneous facial expressions measured through computer vision techniques were used as an indicator to discriminate alert from acutely drowsy episodes.  ...  In this study, facial motion was analyzed automatically from video by using a fully automated facial expression analysis system based on Facial Action Coding System (FACS).  ... 
doi:10.1109/icpr.2010.943 dblp:conf/icpr/VuralBLCEM10 fatcat:bdjc7sch7na2nbsv47p7mahdvu

Dynamic biometric identification from multiple views using the GLBP-TOP method

Yu Wang, Xuanjing Shen, Haipeng Chen, Yujie Zhai
2014 Bio-medical materials and engineering  
The proposed algorithm was proved effective through the biometric experiments using the Honda/UCSD database, and was robust against changes of illumination and expressions.  ...  in the frequency domain of the Gabor transform (GLBP-TOP) was proposed.  ...  It extracts the texture and motion features, and can be used for facial recognition in an image sequence.  ... 
doi:10.3233/bme-141089 pmid:25226976 fatcat:h5jkibgzt5dgdenexkx6ceglle

Neural Network Classification of Photogenic Facial Expressions Based on Fiducial Points and Gabor Features [chapter]

Luciana R. Veloso, João M. de Carvalho, Claudio S. V. C. Cavalvanti, Eduardo S. Moura, Felipe L. Coutinho, Herman M. Gomes
2007 Lecture Notes in Computer Science  
Experiments have been performed using 416 images from the Cohn-Kanade AU-Coded Facial Expression Database [1] .  ...  facial images, using neural networks.  ...  The authors would like to thank Professor Jeffrey Cohn for granting access to Cohn-Kanade AU-coded Facial Expression Database.  ... 
doi:10.1007/978-3-540-77129-6_18 fatcat:joliimtilrb77nou3fhvtss3zq

Information extraction from image sequences of real-world facial expressions

Haisong Gu, Qiang Ji
2005 Machine Vision and Applications  
The simultaneous use of a global head motion constraint and Kalman filtering can robustly track individual facial features even in condition of rapid head motion and significant expression change.  ...  It is a fundamental task in facial expression analysis and will ultimately determine the performance of expression recognition.  ...  This work is supported by a grant from the US Air Force Office of Scientific Research.  ... 
doi:10.1007/s00138-004-0161-6 fatcat:4uesmwzu3feqfaolt3uqjv3uia
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