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Automatic feature extraction and face synthesis in facial image coding

Fu-Che Wu, Tzong-Jer Yang, Ming Ouhyoung
Proceedings Pacific Graphics '98. Sixth Pacific Conference on Computer Graphics and Applications (Cat. No.98EX208)  
In synthesis part, a new face image is synthesized using one base image and a small amount of feature images.  ...  In this paper, a real-time method that automatically extracts facial feature points is proposed. Based upon this technique, we also present a procedure to encode facial images efficiently.  ...  Synthesis of Facial Image In synthesis part, we have a base image, a small amount of feature images, and some parameters that describe the affine transformation of head pose and locations of features.  ... 
doi:10.1109/pccga.1998.732142 dblp:conf/pg/MoritsuK98 fatcat:cozbebla25hp3i2f4fzye2o7h4

Automatic Single View-Based 3-D Face Synthesis for Unsupervised Multimedia Applications

Yun Sheng, A.H. Sadka, A.M. Kondoz
2008 IEEE transactions on circuits and systems for video technology (Print)  
Index Terms-Face model adaptation, facial feature extraction, image processing, 3-D face synthesis.  ...  Based on the detected face, a few salient facial features, such as the corners of the eyebrows and contours of the eyes, mouth, and chin are in turn extracted using variant algorithms, including a dynamic  ...  The developed single view-based face synthesis system involves automatic operations in face detection, facial feature extraction, and face model adaptation.  ... 
doi:10.1109/tcsvt.2008.924101 fatcat:o23qepazcnfvdhex6vq655qua4

Expression Recognition Using RP and DPL

Zhijun Pei, Yaxin Wang
2017 DEStech Transactions on Engineering and Technology Research  
Expression representation and classifier design are two vital aspects of automatic facial expression recognition.  ...  Using different Random Projection (RP) for each class features and Dictionary Pairs Learning (DPL) classification algorithm, the proposed approach of face expression recognition can classify the prototypic  ...  The main blocks are image acquisition, face detection, feature extraction and classification. First start with the face detection, then the features extraction process and classification.  ... 
doi:10.12783/dtetr/apetc2017/11380 fatcat:7c4i6wifcvfejapycnnpwzklyi

Automatic 3D face synthesis using single 2D video frame

Y. Sheng, A.H. Sadka, A.M. Kondoz
2004 Electronics Letters  
3D face synthesis has been extensively used in many applications over the last decade.  ...  An automatic 3D face synthesis algorithm is proposed, which resolves a number of existing bottlenecks.  ...  Facial feature extraction: Automatic facial feature extraction comprises two phases: face detection and facial feature extraction.  ... 
doi:10.1049/el:20045698 fatcat:65y2eina3rhuvjffmygvebvzxu

Facial Action Recognition for Facial Expression Analysis From Static Face Images

M. Pantic, L.J.M. Rothkrantz
2004 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
In this paper, we present an automated system that we developed to recognize facial gestures in static, frontal-and/or profile-view color face images.  ...  From the extracted contours of the facial features, we extract ten profile-contour fiducial points and 19 fiducial points of the contours of the facial components.  ...  Patras and J. Wojdel, of Delft University of Technology, as well as the anonymous reviewers for their helpful comments and suggestions.  ... 
doi:10.1109/tsmcb.2004.825931 pmid:15484916 fatcat:j4ntjkujtjezblzhbggktqdfmu

Estimation of Age from Face Images

2015 International Journal of Science and Research (IJSR)  
In this paper we survey the complete age synthesis from face images techniques.  ...  Face recognition is challenging and interesting area in real time applications. An age estimation is the estimation of age from the face image with the exact age in year or the age range.  ...  In feature extraction step the face regions, variations and angles are extracted from face image.  ... 
doi:10.21275/v4i12.nov152411 fatcat:2wn75hwutjf4phuoyid2chqbbi

Machine Learning Approach for Smile Detection in Real Time Images

Harsha Yadappanavar, Shylaja S S
2012 International Journal of Image Processing and Vision Science  
A system that performs the operation of face detection and facial feature extraction accurately and in real time would form a big step in achieving a humanlike interaction between man and machine.  ...  Machine learning method involves training a classifier and using it in real time images to determine smile.  ...  ACKNOWLEDGMENT The authors would like to extend their sincere gratitude to PES Management and all faculty members and friends in all support provided for carrying out this research work.  ... 
doi:10.47893/ijipvs.2012.1006 fatcat:ozjqspftz5fkpnf73i26pytjda

All-In-One: Facial Expression Transfer, Editing and Recognition Using A Single Network [article]

Kamran Ali, Charles E. Hughes
2019 arXiv   pre-print
Editing (FEE), and 3. to recognize the facial expression of a face image, known as Facial Expression Recognition (FER).  ...  To improve the feature disentanglement and extraction process, we also introduce a novel expression consistency loss and an identity consistency loss which exploit extra expression and identity information  ...  Generator In previous facial expression synthesis and manipulation methods [6] , [34] , [2] one encoder is used to extract feature information from an input image, while a conditional code is explicitly  ... 
arXiv:1911.07050v1 fatcat:uyrcp66yovd2xkejkqwxyjfdue

A Model Based Method for Automatic Facial Expression Recognition [chapter]

Hans van Kuilenburg, Marco Wiering, Marten den Uyl
2005 Lecture Notes in Computer Science  
The classification accuracy for an automatic system which uses static images as input is however largely limited by the image quality, lighting conditions and the orientation of the depicted face.  ...  Automatic facial expression recognition is a research topic with interesting applications in the field of human-computer interaction, psychology and product marketing.  ...  There are several ways to extract a compact representation of the facial features using this model.  ... 
doi:10.1007/11564096_22 fatcat:uvs42uvenjg2lnr3uirhmue66u

Face tracking and realistic animations for telecommunicant clones

S. Valente, J.-L. Dugelay
2000 IEEE Multimedia  
T he ability to analyze a human's facial expressions in a video sequence and reproduce them on a synthetic head model is important for many multimedia applications such as model-based coding, virtual actors  ...  We also propose animation techniques to embed realistic expressions in our 3D clones. Such face models permit automatic construction of appearance models.  ...  ) for the original Cyberware scans and Katia Fintzel (Espri Concept/Eurécom Institute) for being the model in the section "Synthesis of facial expressions."  ... 
doi:10.1109/93.839309 fatcat:udlqv3bvyra2jc3vsfgliwhst4

Facial Expressions Animation And Lip Tracking Using Facial Characteristic Points And Deformable Model

Hadi Seyedarabi, Ali Aghagolzadeh, Sohrab Khanmohammadi
2007 Zenodo  
Face and facial expressions play essential roles in interpersonal communication.  ...  The proposed synthesis system uses a simple deformable facial features model with a few set of control points that can be tracked in original facial image sequences.  ...  Kanade from Pittsburgh University for their kindly providing the image database.  ... 
doi:10.5281/zenodo.1083850 fatcat:jwlerl4gs5alriuyelrw46gjlu

Facial Expression Recognition: A Survey

Jyoti Kumari, R. Rajesh, K.M. Pooja
2015 Procedia Computer Science  
This paper presents a quick survey of facial expression recognition. A comparative study is also carried out using various feature extraction techniques on JAFFE dataset.  ...  Two popular methods utilized mostly in the literature for the automatic FER systems are based on geometry and appearance.  ...  5 , security 6 , automatic counseling systems, face expression synthesis, lie detection, music for mood 7 , automated tutoring systems 8 , operator fatigue detection 9 etc.  ... 
doi:10.1016/j.procs.2015.08.011 fatcat:gzgse2zkfrbiddstheueauaa64

Structure-Preserving Sparse Decomposition for Facial Expression Analysis

Sima Taheri, Qiang Qiu, Rama Chellappa
2014 IEEE Transactions on Image Processing  
We use the computed sparse code matrix for each expressive face to perform expression decomposition and recognition.  ...  Although facial expressions can be decomposed in terms of action units (AUs) as suggested by the Facial Action Coding System (FACS), there have been only a few attempts that recognize expression using  ...  Feature Extraction Feature representation plays an important role in facial expression recognition.  ... 
doi:10.1109/tip.2014.2331141 pmid:24956366 fatcat:nkkq62qd2fftzdl4xlvypenrl4

Expert system for automatic analysis of facial expressions

M Pantic, L.J.M Rothkrantz
2000 Image and Vision Computing  
full-face image.  ...  The first one is the ISFER Workbench, which forms a framework for hybrid facial feature detection. Multiple feature detection techniques are applied in parallel.  ...  At the moment, ISFER has the following functionality: 1. automatic extraction of the facial features from digitised facial images; 2. automatic encoding of face actions (described in terms of Action Units  ... 
doi:10.1016/s0262-8856(00)00034-2 fatcat:rpmh35qzcffwnlbpnbcxwksdfm

Spotting the Details: The Various Facets of Facial Expressions

Carl Martin Grewe, Gabriel Le Roux, Sven-Kristofer Pilz, Stefan Zachow
2018 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)  
This expression code can be used, for instance, as a feature in automatic facial expression recognition.  ...  We present a novel high-quality 3D Facial Expression Morphable Model built from a large-scale face database as a tool for expression analysis and synthesis.  ...  ACKNOWLEDGEMENTS We kindly thank Sophie Buchner and Alexander Tack for their valuable support and discussions during preparation of this paper.  ... 
doi:10.1109/fg.2018.00049 dblp:conf/fgr/GreweRPZ18 fatcat:vj3yxyn2azg25gxydekwxsf2yu
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