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AUTOMATIC RECOGNITION OF FACIAL EXPRESSION BASED ON COMPUTER VISION

Shaoping Zhu
2015 International Journal on Smart Sensing and Intelligent Systems  
Firstly, in order to exact robust facial expression features, we use Active Appearance Model (AAM) to extract the global texture feature and optical flow technique to characterize facial expression which  ...  Automatic facial expression recognition from video sequence is an essential research area in the field of computer vision.  ...  There are many researches already carried out to recognize facial expressions from video sequence. F. Samaria and S.  ... 
doi:10.21307/ijssis-2017-815 fatcat:6amcors35fgvxd2r7x3oba26ga

A Bayesian approach to recognise facial expressions using vector flows

Xiaofan Sun, Leon Rothkrantz, Dragos Datcu, Pascal Wiggers
2009 Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing - CompSysTech '09  
In this paper we describe a system to recognize facial expressions automatically. Special areas in the face have been selected to extract features from the vector flow of visual muscle activity.  ...  To classify facial expressions Bayesian Networks have been used. The classifier has been trained and tested on video recordings from the Cohn Kanade database.  ...  The features were computed using a hierarchical algorithm for estimating optical flow from sequences of face images.  ... 
doi:10.1145/1731740.1731772 dblp:conf/compsystech/SunRDW09 fatcat:jlh7ogswb5bhtlg3droeaema5i

Facial Expression Recognition Based on MILBoost

Shaoping Zhu
2014 Journal of Software  
At first, we determine facial velocity information using optical flow technique, which is used to charaterize facial expression.  ...  In this paper, We use Adaboost to create MILBoost and propose a new MILBoost approach to automatically recognize the facial expression from video sequences by constructing the MILBoost methods.  ...  For the second type, it is to recognize facial expressions of an image frame sequence by the use of optical flow [3] . The third type is to recognize facial expressions by active shape models [4] .  ... 
doi:10.4304/jsw.9.9.2435-2442 fatcat:xnvydo2edffsvcqozffuowlspi

Intensity score for facial actions detection in near-frontal-view face sequences

Moi Hoon Yap, Hassan Ugail, Reyer Zwiggelaar
2012 2012 International Conference on Computer and Communication Engineering (ICCCE)  
First, the facial feature points are detected by using Gabor feature based boosted classifiers and the movement of each point is tracked by optical flow.  ...  this paper proposes a method to detect the facial Action Units (AUs) and introduce an automatic measurement in predicting the intensity scores of each AU in near-to-frontal face image sequences.  ...  ACKNOWLEDGMENT This work is supported by EPSRC grant on "Facial Analysis for Real-Time Profiling" (EP/G004137/1). The authors would like to thank Pantic et al for providing the MMI database.  ... 
doi:10.1109/iccce.2012.6271331 fatcat:jwycyeabrzcppiyvuax5pd2psq

INTELLIGENT DETECTION OF FACIAL EXPRESSION BASED ON IMAGE

Shaoping Zhu, Yongliang Xiao
2015 International Journal on Smart Sensing and Intelligent Systems  
Finally, Multi-Instance Boosting model is used to recognize facial expression from video sequences.  ...  Firstly, Active Shape Model (ASM) is used to extract the local texture feature, and optical flow technique is determined facial velocity information, which is used to characterize facial expression.  ...  [1] proposed a new architecture of hidden Markov models (HMMs) for automatically segmenting and recognizing human facial expression from video sequences.  ... 
doi:10.21307/ijssis-2017-773 fatcat:2bv3ny2kejg5vmw62bhdwbhr4q

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.  ...  This paper reviews the past work done in solving these problems for image sequences. 978-1-4244-6653-5/10/$26.00  ...  By casual inspection of a scene, human being detect faces without effort, under bad illumination or from a long distance.  ... 
doi:10.1109/iciinfs.2010.5578670 fatcat:fjmsqip2p5etbnpp7ojx26sa7y

A Micro-expression Recognition Algorithm for Students in Classroom Learning Based on Convolutional Neural Network

Jiayin Pei, Peng Shan
2019 Traitement du signal  
Specifically, the multitask deep convolution network (DNN) was adopted to detect the landmark points of human face, and a hybrid DNN was designed to extract the optical-flow features of micro-expression  ...  In classroom teaching, the teachers should adjust the teaching strategy and improve the teaching effect based on the expression and learning state of each student.  ...  [8] extracted Gabor features from each frame of image in the video, and then recognized micro-expression by gentle support vector machine (SVM), which automatically segments the image sequence.  ... 
doi:10.18280/ts.360611 fatcat:s4fuibrg2ne7jox2bot7abz4yq

A Convolutional Neural Network for Compound Micro-Expression Recognition

Yue Zhao, Jiancheng Xu
2019 Sensors  
Moreover, the proposed method calculated the optical flow information between the onset frame and apex frame to produce an optical flow feature map.  ...  Compound micro-expressions are constructed by combining two basic micro-expressions but reflect more complex mental states and more abundant human facial emotions.  ...  As long as there is a little deviation from the optical flow constraint, this will lead to functional divergence.  ... 
doi:10.3390/s19245553 pmid:31888182 pmcid:PMC6960609 fatcat:c7g44rewyzdgjmy3tcdtdgmai4

Pain Expression Recognition Based on pLSA Model

Shaoping Zhu
2014 The Scientific World Journal  
First of all, facial velocity information, which is used to characterize pain, is determined using optical flow technique.  ...  We present a new approach to automatically recognize the pain expression from video sequences, which categorize pain as 4 levels: "no pain," "slight pain," "moderate pain," and " severe pain."  ...  pLSA-Based Pain Expression Recognition We use the pLSA models [21] to learn and recognize human pain.  ... 
doi:10.1155/2014/736106 pmid:24982986 pmcid:PMC3985295 fatcat:7cwk44eu7fc3rkbee7ou7ppdwq

Hough Forest-Based Facial Expression Recognition from Video Sequences [chapter]

Gabriele Fanelli, Angela Yao, Pierre-Luc Noel, Juergen Gall, Luc Van Gool
2012 Lecture Notes in Computer Science  
This work presents a user-independent approach for the recognition of facial expressions from image sequences.  ...  Automatic recognition of facial expression is a necessary step toward the design of more natural human-computer interaction systems.  ...  This work has been supported by funding from the Swiss National Foundation NCCR project IM2, the SNF project Vision-supported Speech-based Human Machine Interaction, as well as the EC project IURO.  ... 
doi:10.1007/978-3-642-35749-7_15 fatcat:mtdw4e5vobfnvpb6hcqchsho3i

Facial expression recognition from line-based caricatures

Yongsheng Gao, M.K.H. Leung, Siu Cheung Hui, M.W. Tananda
2003 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
In this paper, we present a methodology for facial expression recognition from a single static image using line-based caricatures. The recognition process is completely automatic.  ...  This work has proven the proposed idea that facial expressions can be characterized and recognized by caricatures.  ...  The optical flow analysis [5] , [7] - [10] , [18] , [19] is the major technique for facial motion measurement. Mase [7] used optical flow to estimate the activity of the facial muscles.  ... 
doi:10.1109/tsmca.2003.817057 fatcat:dymmlkk72bbjxh74urvxk4uq4e

A real-time automated system for the recognition of human facial expressions

K. Anderson, P.W. McOwan
2006 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
Faces are located using a spatial ratio template tracker algorithm. Optical flow of the face is subsequently determined using a real-time implementation of a robust gradient model.  ...  The system uses facial motion to characterize monochrome frontal views of facial expressions and is able to operate effectively in cluttered and dynamic scenes, recognizing the six emotions universally  ...  Alternatives to the use of optical flow include image [15] , [16] and feature-based [17] - [19] methods.  ... 
doi:10.1109/tsmcb.2005.854502 pmid:16468569 fatcat:3rfjuq2lvngrvi7pxszwpwrnmq

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Michael J. Black, Yaser Yacoob
2012 International Journal of Computer Vision  
This paper explores the use of local parametrized models of image motion for recovering and recognizing the non-rigid and articulated motion of human faces.  ...  These parameters are intuitively related to the motion of facial features during facial expressions and we show how expressions such as anger, happiness, surprise, fear, disgust, and sadness can be recognized  ...  Without the wonderful cooperation of our forty volunteers in subjecting themselves to the intrusive experiments on their facial expressions this work would not have been possible.  ... 
doi:10.1023/a:1007977618277 fatcat:vmrumcuas5cwxi24n4oqoaw5da

Audio driven facial animation for audio-visual reality

T.A. Faruquie, A. Kapoor, R. Kate, N. Rajput, L.V. Subramaniam
2001 IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.  
An animation sequence using optical flow between visemes is constructed, given an incoming audio stream and still pictures of a face speaking different visemes.  ...  Based on an incoming audio stream, a face image is animated with full lip synchronization and expression.  ...  Given facial images and , we first estimate the 3D rigid body motion component from to . Next, we warp image using this model to align with and having viseme shape/expression of .  ... 
doi:10.1109/icme.2001.1237848 dblp:conf/icmcs/FaruquieKKR01 fatcat:sw3mx4cuxneqznuny6dik5dmky

Natural Facial and Head Behavior Recognition using Dictionary of Motion Primitives

Qun SHI, Norimichi UKITA, Ming-Hsuan YANG
2017 IEICE transactions on information and systems  
, the problem setting of facial and head expression recognition has been extended from using still images to using videos as well as from a lab setting to a natural scenario.  ...  This paper proposes a natural facial and head behavior recognition method using hybrid dynamical systems.  ...  In this work, we use a histogram of oriented dense optical flow features (HOOF) [22] to encode facial and head expressions.  ... 
doi:10.1587/transinf.2017edp7128 fatcat:4fnhf45jrnexxlbiae3mzkjm2q
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