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Recognizing Facial Expressions Using Model-based Image Interpretation [chapter]

Matthias Wimmer, Zahid Riaz, Christoph Mayer, Bernd Radig
2008 Advances in Human Computer Interaction  
This computer vision task comprises of various phases for which it exploits model-based techniques that accurately localize facial features, seamlessly track them through image sequences, and finally infer  ...  facial expressions visible.  ...  Universal Facial Expressions and the Facial Action Coding System (FACS) Recognizing Facial Expressions Using Model-based Image Interpretation 589 Benchmark DB The Cohn-Kanade-Facial-Expression  ... 
doi:10.5772/5912 fatcat:vigwr3ws35cb5ixdz7e6343qcq

Recognizing Facial Expressions Using Model-Based Image Interpretation [chapter]

Matthias Wimmer, Christoph Mayer, Bernd Radig
2009 Lecture Notes in Computer Science  
Our system has been successfully presented to industrial, political, and scientific audience in various events. Recognizing Facial Expressions Using Model-based Image Interpretation  ...  This computer vision task comprises of various phases for which it exploits model-based techniques that accurately localize facial features, seamlessly track them through image sequences, and finally infer  ...  Expressions Using Model-based Image Interpretation  ... 
doi:10.1007/978-3-642-00525-1_33 fatcat:nl4x3vrtgvgohiodpjcitfecem

Automatic Facial Expression Analysis A Survey

Sumathi C P
2012 International Journal of Computer Science & Engineering Survey  
The Paper also discusses about the facial parameterization using Facial Action Coding System(FACS) action units and the methods which recognizes the action units parameters using facial expression data  ...  The two basic concepts of extracting features are based on facial deformation and facial motion.  ...  extraction methods,model and image-based representation techniques as well as recognition and interpretation-based classification approaches are discussed.While trying to classify the facial expression  ... 
doi:10.5121/ijcses.2012.3604 fatcat:ies3btw4ifhyvlwbikpso26hem

Recognition of Facial Emotion through Face Analysis based on Quadratic Bezier Curves

Yong-Hwan Lee, Hyochang Ahn, Han-Jin Cho, June-Hwan Lee
2015 Indian Journal of Science and Technology  
This paper proposes an automatic extraction and interpretation method of facial expression using extraction of feature points and variation of the Bezier curve from still image.  ...  Experimental results show average 76.1% of success to interpret and classify the facial expression and emotion.  ...  In this work, the facial expressions have interpreted and classifi ed only by static image.  ... 
doi:10.17485/ijst/2015/v8i35/86092 fatcat:n74bovuldjfc3itqim76l3nkei

PCA + LDA Fuzzy Based Model for Emotional Nature Recognition of Human Video

2019 International journal of recent technology and engineering  
This paper aims to recognize human emotion using nonverbal communication of human facial expressions.  ...  This paper applied fusion of PCA and LDA based model for facial video emotion recognition with neural network (NN), fuzzy approach and Ekman's proposed concept of action units of faces.  ...  PCA+LDA BASED MODEL FOR SINGLE PERSON VIDEO EMOTION RECOGNITION USING FUZZY SETS A model for Human's facial expression recognition is presented here in figure 1.  ... 
doi:10.35940/ijrte.c3955.098319 fatcat:f6djkeywfbf23cgkniil2f26im


2022 Computer Systems and Information Technologies  
In this regard, this study is devoted to the problem of identifying the main criteria for expressing the face of emotional manifestations for the possibility of recognizing without the use of specialized  ...  In particular, information safety systems for visual surveillance that aim to recognize human emotional facial states are highly relevant today.  ...  IT identification of changes in a human emotional state by facial expressions for systems that meet security requirements uses the model to recognize facial expressions of emotions, the geometric interpretation  ... 
doi:10.31891/csit-2022-1-7 fatcat:d4n7ez5eh5biroqum5m6f76q3m

Facial Emotion Recognition

Vinayak a, B.Sc. Information Technology Student Department of CS&IT, JAIN (Deemed-To-Be University), Rachana R Babu, Assistant Professor Department of CS&IT, JAIN (Deemed-To-Be University)
2022 Ymer  
Facial emotion recognition is one of the useful task and can be used as a base for many real-time applications.  ...  This project consists of two modules: (i)Processing and generating the model for the application using different algorithms and (ii) Application for using the model using OpenCV to recognize.  ...  Various methods exist which can extract feature for expression based on motion of the feature such Active Appearance Model which is statistical model of shape and gray scale information.  ... 
doi:10.37896/ymer21.05/b5 fatcat:z2ar56juwbdyzirjz7slvldmze

Sparse Representation Based Recognizing Alive Facial Expressions

K. Vijila Rani
2018 Zenodo  
In order to improve the robustness of facial expression recognition, a method of face expression recognition based on sparse representation with atlas concept is proposed.  ...  They are diffeomorphic growth model and distributed cluster wise image registration methodology.  ...  ., proposed "Dynamic texture recognition using local binary patterns with an application to facial expressions," Here appearance based methods are proposed for feature extraction it extracts image intensity  ... 
doi:10.5281/zenodo.1471034 fatcat:uphc5lfvq5h43hpuxjmdfd5kgu

Deep Learning based Facial Emotion Recognition

Swayam Badhe, Sangita Chaudhari, M.D. Patil, V.A. Vyawahare
2022 ITM Web of Conferences  
Although it is very easy task for humans, its bit challenging for machines to detect and recognize correct emotions from series of human facial expressions.  ...  In many applications like human machine interface, medical diagnosis, AI based games, market research etc. needs facial expression recognition.  ...  In most of the approaches, emotions can be easily recognized from static facial images, but results out in poor accuracy in case of temporal changes in the facial expressions [4, 5] .  ... 
doi:10.1051/itmconf/20224403058 fatcat:crgih3iizvellieyri5c2ictby

Feature Tracking and Expression Recognition of Face Using Dynamic Bayesian Network

Sonali V.Hedaoo, M.D. Katkar, S.P. Khandait
2014 International Journal of Engineering Trends and Technoloy  
Due to the difficulty of obtaining controlled video sequences of standard facial expressions, many psychological and neurophysiologic studies of facial expression processing have used single image motivations  ...  In proposed system, in contrast to the mainstream approaches, we are trying to build a probabilistic model based on the Dynamic Bayesian Network (DBN) to capture the facial interactions at different levels  ...  Fadi Dornaika , Franck Davoine [4] had proposed facial actions/features are retrieved from the images, and then facial expressions are recognized based on the retrieved temporal parameters.  ... 
doi:10.14445/22315381/ijett-v8p293 fatcat:jnt2mhufsrfnllw7b6dkzwx63u

Facial Feature Model for Emotion Recognition Using Fuzzy Reasoning [chapter]

Renan Contreras, Oleg Starostenko, Vicente Alarcon-Aquino, Leticia Flores-Pulido
2010 Lecture Notes in Computer Science  
In this paper we present a fuzzy reasoning system that can measure and recognize the intensity of basic or non-prototypical facial expressions.  ...  The proposed system has been tested in order to evaluate its capability for detection, classifying, and interpretation of facial expressions.  ...  Usually the facial expression recognizing systems are based on two parts: a module for generation of feature vector corresponding to emotion expression in analyzed image (described by pixel position, colors  ... 
doi:10.1007/978-3-642-15992-3_2 fatcat:urcc3wjw6zdvvpi432xihqb4ty

A Model Based Approach for Expressions Invariant Face Recognition [chapter]

Zahid Riaz, Christoph Mayer, Matthias Wimmer, Michael Beetz, Bernd Radig
2009 Lecture Notes in Computer Science  
This paper describes an idea of recognizing the human face in the presence of strong facial expressions using model based approach.  ...  The approach follows in 1) modeling an active appearance model (AAM) parameters for the face image, 2) using optical flow based temporal features for facial expression variations estimation, 3) and finally  ...  In section 4 model based image interpretation is described along with the model fitting process.  ... 
doi:10.1007/978-3-642-01793-3_30 fatcat:5mb7lfoqjnfprmoydgzvcintsq

Image and Video Processing for Affective Applications [chapter]

Maja Pantic, George Caridakis
2010 Cognitive Technologies  
Although humans cope, relatively easily, with the task of perceiving facial expressions, gestural expressivity, and other visual cues involved in expressing emotion the automatic counterpart of the task  ...  findings, and additionally, as the state of the art advances in affective computing, other related research areas (computer vision, pattern recognition, etc.) discover new challenges that are related to image  ...  modeling of facial expressions as well.  ... 
doi:10.1007/978-3-642-15184-2_7 fatcat:hrdpjqvcura3hb5fvttu2mwkum

Study of the Changing Trends in Facial Expression Recognition

S. Ravi, Mahima S
2011 International Journal of Computer Applications  
It is true even in the case of 'Facial Expression Recognition'. So it is attempted to have a broad look into the origin and development of 'Facial Expression Recognition' in the recent past.  ...  Though there are many expressions yet to be recognized, significant contributions are made by many eminent scholars to identify the six primary emotions viz. happiness, sadness, fear, disgust, surprise  ...  A new architecture based on Hidden Markov models (HMMs) was used for automatically segmenting and recognizing human facial expression from video sequences.  ... 
doi:10.5120/2509-3397 fatcat:h2d5bzwc2jbefawbloxfhiiqty

Computers Seeing People

Irfan A. Essa
1999 The AI Magazine  
In this article, I present the current state of the art in machines that can see people, recognize them, determine their gaze, understand their facial expressions and hand gestures, and interpret their  ...  Science fiction writers have given us these goals in the form of HAL in 2001: A Space Odyssey and Commander Data in Star Trek: The Next Generation.  ...  In addition to tracking expressions using this method, hidden Markov models (HMMs) could be used for recognition of expressions based on a similar set of visual measurements.  ... 
doi:10.1609/aimag.v20i2.1457 dblp:journals/aim/Essa99 fatcat:e3xyxxuejvcaxclepiqe2ydkxm
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