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Extraction and Selection of Muscle Based Features for Facial Expression Recognition

Kristin S. Benli, M. Taner Eskil
2014 2014 22nd International Conference on Pattern Recognition  
In this study we propose a new set of muscle activity based features for facial expression recognition.  ...  We apply sequential forward feature selection to choose the most descriptive set of muscles for recognition of basic facial expressions.  ...  ACKNOWLEDGMENT This research is part of project "Expression Recognition based on Facial Anatomy", grant number 109E061, supported by The Support Programme for Scientific and Technological Research Projects  ... 
doi:10.1109/icpr.2014.14 dblp:conf/icpr/BenliE14 fatcat:7426gbuotvhlbbwxrldwizrhra

An Action Unit co-occurrence constraint 3DCNN based Action Unit recognition approach

2020 KSII Transactions on Internet and Information Systems  
Taking account of the moving of muscles impact each other when person express their emotion, we propose to make full use of co-occurrence relationship among action units (AUs) in this paper.  ...  Therefore, to improve performance of the action unit recognition will facilitate the facial expression recognition and provide profound basis for the mental state analysis, etc.  ...  The comparison of recognition effect between 2DCNN AU recognition model and 3D CNN AU recognition model proves that temporal feature plays an important role in improving the recognition effect of AU.  ... 
doi:10.3837/tiis.2020.03.001 fatcat:uitddrih7vdkbkbt6mmvjrvuu4

Automatic Facial Expression Analysis A Survey

Sumathi C P
2012 International Journal of Computer Science & Engineering Survey  
Various kinds of facial expressions are present in human face which can be identified based on their geometric features, appearance features and hybrid features .  ...  The two basic concepts of extracting features are based on facial deformation and facial motion.  ...  FRAME-BASED EXPRESSION RECOGNITION: Frame-based expression recognition does not use temporal information for the input images.  ... 
doi:10.5121/ijcses.2012.3604 fatcat:ies3btw4ifhyvlwbikpso26hem

Emotion recognition from multi-modal information

Chung-Hsien Wu, Jen-Chun Lin, Wen-Li Wei, Kuan-Chun Cheng
2013 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference  
A variety of theoretical background and applications ranging from salient emotional features, emotionalcognitive models, to multi-modal data fusion strategies is surveyed for emotion recognition on these  ...  In this paper, we presents a survey on theoretical and practical work offering new and broad views of the latest research in emotion recognition from multi-modal information including facial and vocal  ...  FACIAL EXPRESSION-BASED EMOTION/MUSCLE ACTION RECOGNITION Previous facial expression-based emotion/muscle action recognition studies generally employed the typical pattern recognition approaches, and were  ... 
doi:10.1109/apsipa.2013.6694347 dblp:conf/apsipa/WuLWC13 fatcat:mnewdisdhfhq7b376ntz5bb5wm

Facial Expression Recognition Using 3D Facial Feature Distances [chapter]

Hamit Soyel, Hasan Demirel
2008 Affective Computing  
Information extracted from 3D face models are rarely used in the analysis of the facial expression recognition.  ...  Our results show that 3D distance vectors based recognition outperforms facial expression recognition results compared to the results of the similar systems using 2D and 3D facial feature analysis.  ... 
doi:10.5772/6189 fatcat:2swf64gnifcnbootpojyk57eta

Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition

Ziheng Wang, Shangfei Wang, Qiang Ji
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
Experimental results on benchmark databases demonstrate the feasibility of the proposed approach in recognizing facial expressions based purely on spatio-temporal relations among facial muscles, as well  ...  We further propose the Interval Temporal Bayesian Network to capture these complex temporal relations among primitive facial events for facial expression modeling and recognition.  ...  Acknowledgement This work is jointly supported by an NSF grant (#1145152), a US Army Research Office grant (W911NF-12-1-0473), and an NSFC grant (61228304).  ... 
doi:10.1109/cvpr.2013.439 dblp:conf/cvpr/WangWJ13 fatcat:imqpnxsjhvbmnpxa75uf4jcf24

A Quadratic Deformation Model for Facial Expression Recognition

M. Obaid, R. Mukundan, R. Goecke, M. Billinghurst, H. Seichter
2009 2009 Digital Image Computing: Techniques and Applications  
In this paper, we propose a novel approach for recognizing facial expressions based on using an Active Appearance Model facial feature tracking system with the quadratic deformation model representations  ...  of facial expressions.  ...  The authors would like to also thank Karin Fitz for her help and time with collecting the facial expression data.  ... 
doi:10.1109/dicta.2009.51 dblp:conf/dicta/ObaidMGBS09 fatcat:gsxy4p2n2nfrnpbeaocbadldn4

Facial Motion Prior Networks for Facial Expression Recognition [article]

Yuedong Chen, Jianfeng Wang, Shikai Chen, Zhongchao Shi, Jianfei Cai
2019 arXiv   pre-print
Deep learning based facial expression recognition (FER) has received a lot of attention in the past few years.  ...  Most of the existing deep learning based FER methods do not consider domain knowledge well, which thereby fail to extract representative features.  ...  One might ask why we do not directly use the computed ground truth masks for facial expression recognition, instead of learning to generate a facial-motion mask.  ... 
arXiv:1902.08788v2 fatcat:cfmjbxw6djhddepn7dxuuinp64

Coding, analysis, interpretation, and recognition of facial expressions

I.A. Essa, A.P. Pentland
1997 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Finally, we show how this method can be used for coding, analysis, interpretation, and recognition of facial expressions.  ...  We describe a computer vision system for observing facial motion by using an optimal estimation optical flow method coupled with geometric, physical and motion-based dynamic models describing the facial  ...  Acknowledgments We would like to thank Eero Simoncelli, John Wang Trevor Darrell, Paul Ekman, Steve Pieper, and Keith Waters, Steve Platt, Norm Badler and Nancy Etcoff for their help with various parts of  ... 
doi:10.1109/34.598232 fatcat:y6dybexw6bbnfitewvv67kknze

Nonfrontal Expression Recognition in the Wild Based on PRNet Frontalization and Muscle Feature Strengthening

Tianyang Cao, Chang Liu, Jiamin Chen, Georgios I. Giannopoulos
2021 Mathematical Problems in Engineering  
However, expression is still difficult to be recognized, because facial features weakened after frontalization, which had been widely reported by previous studies.  ...  Nonfrontal facial expression recognition in the wild is the key for artificial intelligence and human-computer interaction. However, it is easy to be disturbed when changing head pose.  ...  e Design of Facial Expression Strengthening Model.  ... 
doi:10.1155/2021/6620752 fatcat:ouydus5b55gibct2uapvlo4zku

Human Computer interaction for smart environment applications using hand gestures and facial expressions

Qing Chen, Marius D. Cordea, Emil M. Petriu, Annamaria R. Varkonyi Koczy, Thomas E. Whalen
2009 International Journal of Advanced Media and Communication  
The paper discusses two body-language humancomputer interaction modalities, namely facial expressions and hand gestures, for healthcare and smart environment applications.  ...  ACKNOWLEDGMENT This work was funded in part by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Communications and Information Technology Ontario (CITO), and the Communications  ...  FACE EXPRESSION RECOGNITION Our real-time head tracking and facial expression recovery is based on an Anthropometric Muscle-Based Active Appearance Model (AMB AAM) approach.  ... 
doi:10.1504/ijamc.2009.026854 fatcat:2gvfsukaqfapfieagvmtm7igui

A Survey on: Emotion Recognition with respect to Database and Various Recognition Techniques

Sachin Pande, Spurti Shinde
2012 International Journal of Computer Applications  
The goal of this research is to show the comparison with Other AU Recognition Systems Comparison of selected facial expression recognition technique with different approaches on JAFFE database and Cohn-Kanade  ...  the frontals and pars medal's facial muscles are studied.  ...  EMOTION RECOGNITION Emotion recognition approaches can be divided into two groups based on the type of features used, either appearance based features or geometry-based features.  ... 
doi:10.5120/9260-3434 fatcat:qaqgmfztmbgx3doougmwxbddem

Towards Automated Recognition of Facial Expressions in Animal Models

Gaddi Blumrosen, David Hawellek, Bijan Pesaran
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
This work is the first attempt for efficient automatic recognition of facial expressions in NHPs using minimal assumptions about the physiology of facial expressions.  ...  The current systems for recognizing animal facial expression model in Non-human primates (NHPs) are currently limited to manual decoding of the facial muscles and observations, which is biased, time-consuming  ...  Algorithms for AFER in humans are mostly muscle activation models based, or model-free statistical based, or on both [7] .  ... 
doi:10.1109/iccvw.2017.332 dblp:conf/iccvw/BlumrosenHP17 fatcat:ssrai2h6rffh7glmzrylalkvr4

Development of a Facial Emotion Recognition Method Based on Combining AAM with DBN

Kwang-Eun Ko, Kwee-Bo Sim
2010 2010 International Conference on Cyberworlds  
Our facial emotional feature detection and extracting based on Active Appearance Models (AAM) with Ekman's Facial Action Coding System (FACS).  ...  of facial expressions in image sequences.  ...  The Problem of Facial Emotion Feature Extraction Precise localization of a facial feature plays an important role in feature extraction, and expression recognition.  ... 
doi:10.1109/cw.2010.65 dblp:conf/cw/KoS10 fatcat:johugsednnbk7bqpzao3k74vhe

Geometric Approach for Human Emotion Recognition using Facial Expression

S. S.Bavkar, J. S. Rangole, V. U. Deshmukh
2015 International Journal of Computer Applications  
Paper contains emotion recognition system based on facial expression using Geometric approach.  ...  A human emotion recognition system consists of three steps: face detection, facial feature extraction and facial expression classification.  ...  n points: (7) FACIAL EXPRESSION RECOGNITION Our approach uses a feature based representation of facial data for SVM and RBFNN classifier.  ... 
doi:10.5120/20814-3174 fatcat:eksxgj4j75hxhgedzx2ajekudu
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