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Deep Neural Network Augmentation: Generating Faces for Affect Analysis [article]

Dimitrios Kollias and Shiyang Cheng and Evangelos Ververas and Irene Kotsia and Stefanos Zafeiriou
<span title="2019-07-16">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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<span title="2018-11-12">2018</span> <span class="release-stage" >pre-print</span> <span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.05027v1">arXiv:1811.05027v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4cgb2iiazndhnercuegz3okk5y">fatcat:4cgb2iiazndhnercuegz3okk5y</a> </span>
The proposed approach accepts the following inputs: i) a neutral 2D image of a person; ii) a basic facial expression or a pair of valence-arousal (VA) emotional state descriptors to be generated, or a  ...  The affect synthesis is implemented by fitting a 3D Morphable Model on the neutral image, then deforming the reconstructed face and adding the inputted affect, and blending the new face with the given  ...  This paper describes a novel approach that uses an arbitrary face image with a neutral facial expression and synthesizes a new face image of the same person, but with a different expression, generated  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.05027v2">arXiv:1811.05027v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lsqs5hoz2jat3j7kzf2dx7uah4">fatcat:lsqs5hoz2jat3j7kzf2dx7uah4</a> </span>
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Citation

Dimitrios Kollias and Shiyang Cheng and Evangelos Ververas and Irene Kotsia and Stefanos Zafeiriou. "Deep Neural Network Augmentation: Generating Faces for Affect Analysis." arXiv (2019)

Neutral expression synthesis using kernel active shape model

Marcella Peter, Jacey-Lynn Minoi, Suriani Ab Rahman
<span title="2020-10-01">2020</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/trvfti3jm5hnxhei7rl7owpcqq" style="color: black;">Indonesian Journal of Electrical Engineering and Computer Science</a> </i> &nbsp;

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In this research, a method of a modified kernel-based active shape model based on statistical-based approach is introduced to synthesize neutral (neutralize) expressions from expressional faces, with the  ...  This paper presents a modified kernel-based Active Shape Model for neutralizing and synthesizing facial expressions.  ...  ACKNOWLEDGEMENTS We would like to thank Universiti Malaysia Sarawak and other individuals who have lent their hands directly or indirectly towards the completion of this research.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijeecs.v20.i1.pp150-157">doi:10.11591/ijeecs.v20.i1.pp150-157</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f3zqwbnfkfcq7fyigf44um6dpu">fatcat:f3zqwbnfkfcq7fyigf44um6dpu</a> </span>
<span class="ui label basic orange small" title="Open Access">Open Access</span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200816072434/http://ijeecs.iaescore.com/index.php/IJEECS/article/download/22450/14192" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/55/08/55088dfa76e33cdf233fc0c745925a1cf5031cd7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijeecs.v20.i1.pp150-157"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>
Citation

Marcella Peter, Jacey-Lynn Minoi, Suriani Ab Rahman. "Neutral expression synthesis using kernel active shape model." Indonesian Journal of Electrical Engineering and Computer Science 20.1 (2020) 150

Photorealistic Facial Synthesis in the Dimensional Affect Space [chapter]

Dimitrios Kollias, Shiyang Cheng, Maja Pantic, Stefanos Zafeiriou
<span title="">2019</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mih2xhsfhzgnlbqdp7mxi3yrna" style="color: black;">Landolt-Börnstein - Group III Condensed Matter</a> </i> &nbsp;

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To synthesize the affect on the 2D neutral image, 3DMM fitting is performed and the reconstructed face is deformed to generate the target facial expressions.  ...  Given this target pair, a set of 3D facial meshes is selected, which is used to build a blendshape model and generate the new facial affect.  ...  This paper describes a novel approach that takes an arbitrary face image with a neutral facial expression and synthesizes a new face image of the same person, but with a different expression, generated  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-11012-3_36">doi:10.1007/978-3-030-11012-3_36</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3i7w5gf5djfznffcvcco6k2l34">fatcat:3i7w5gf5djfznffcvcco6k2l34</a> </span>
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Citation

Dimitrios Kollias, Shiyang Cheng, Maja Pantic, Stefanos Zafeiriou. "Photorealistic Facial Synthesis in the Dimensional Affect Space." Landolt-Börnstein - Group III Condensed Matter (2019) 475-491

Photorealistic Facial Synthesis in the Dimensional Affect Space [article]

Dimitrios Kollias and Shiyang Cheng and Maja Pantic and Stefanos Zafeiriou
<span title="2018-11-11">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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To synthesize the affect on the 2D neutral image, 3DMM fitting is performed and the reconstructed face is deformed to generate the target facial expressions.  ...  Given this target pair, a set of 3D facial meshes is selected, which is used to build a blendshape model and generate the new facial affect.  ...  This paper describes a novel approach that takes an arbitrary face image with a neutral facial expression and synthesizes a new face image of the same person, but with a different expression, generated  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1811.08004v1">arXiv:1811.08004v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nevkglgwsbagxatra7gcb5bfny">fatcat:nevkglgwsbagxatra7gcb5bfny</a> </span>
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Citation

Dimitrios Kollias and Shiyang Cheng and Maja Pantic and Stefanos Zafeiriou. "Photorealistic Facial Synthesis in the Dimensional Affect Space." arXiv (2018)

Deep Neural Network Augmentation: Generating Faces for Affect Analysis

Dimitrios Kollias, Shiyang Cheng, Evangelos Ververas, Irene Kotsia, Stefanos Zafeiriou
<span title="2020-02-22">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hfdglwo5wbbmta6wop52fam7a4" style="color: black;">International Journal of Computer Vision</a> </i> &nbsp;

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The proposed approach accepts the following inputs:(i) a neutral 2D image of a person; (ii) a basic facial expression or a pair of valence-arousal (VA) emotional state descriptors to be generated, or a  ...  The affect synthesis is implemented by fitting a 3D Morphable Model on the neutral image, then deforming the reconstructed face and adding the inputted affect, and blending the new face with the given  ...  We also thank the NVIDIA Corporation for donating a Titan X GPU. Additionally, we would like to thank the reviewers for their valuable comments that helped us to improve this paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s11263-020-01304-3">doi:10.1007/s11263-020-01304-3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rsrcdezlkfctzbuvhok4566ya4">fatcat:rsrcdezlkfctzbuvhok4566ya4</a> </span>
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Citation

Dimitrios Kollias, Shiyang Cheng, Evangelos Ververas, Irene Kotsia, Stefanos Zafeiriou. "Deep Neural Network Augmentation: Generating Faces for Affect Analysis." International Journal of Computer Vision 128.5 (2020)

Real-Time Mobile Facial Expression Recognition System -- A Case Study

Myunghoon Suk, Balakrishnan Prabhakaran
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ilwxppn4d5hizekyd3ndvy2mii" style="color: black;">2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops</a> </i> &nbsp;

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The facial expression features for emotion recognition are extracted by Active Shape Model (ASM) fitting landmarks on a face and then dynamic features are generated by the displacement between neutral  ...  This paper presents a mobile application for real time facial expression recognition running on a smart phone with a camera.  ...  For automatic facial expression recognition system, a variety of research approaches have been proposed.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cvprw.2014.25">doi:10.1109/cvprw.2014.25</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cvpr/SukP14.html">dblp:conf/cvpr/SukP14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kxuszenknrerposntwbbgbwoku">fatcat:kxuszenknrerposntwbbgbwoku</a> </span>
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Citation

Myunghoon Suk, Balakrishnan Prabhakaran. "Real-Time Mobile Facial Expression Recognition System -- A Case Study." 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops (2014) 132-137

Comprehending and Transferring Facial Expressions Based on Statistical Shape and Texture Models [chapter]

Pengcheng Xi, Won-Sook Lee, Gustavo Frederico, Chris Joslin, Lihong Zhou
<span title="">2006</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;

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Thus we are able to control the models and transform a new face image to be a naturally masculine, friendly or attractive one.  ...  We introduce an efficient approach for representing a human face using a limited number of images. This compact representation allows for meaningful manipulation of the face.  ...  Acknowledgement Many thanks to colleagues at the DISCOVER laboratory of University of Ottawa for their devotion of facial images to our research.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11784203_23">doi:10.1007/11784203_23</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/anfwnutctrhiljprlbcbayprpa">fatcat:anfwnutctrhiljprlbcbayprpa</a> </span>
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Citation

Pengcheng Xi, Won-Sook Lee, Gustavo Frederico, Chris Joslin, Lihong Zhou. "Comprehending and Transferring Facial Expressions Based on Statistical Shape and Texture Models." Lecture Notes in Computer Science (2006) 265-276

Facial expression recognition and synthesis based on an appearance model

Bouchra Abboud, Franck Davoine, Mô Dang
<span title="">2004</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lbq64z5tgbddzjqwttcy2pxhsi" style="color: black;">Signal processing. Image communication</a> </i> &nbsp;

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Then we propose a new method for analysis and synthesis allowing, from a single photo, to cancel the facial expression on a given face and to artificially synthesize novel expressions on this same face  ...  This article addresses the issue of expressive face modelling using an active appearance model for facial expression recognition and synthesis.  ...  A supplementary class is added to account for neutral expressions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.image.2004.05.009">doi:10.1016/j.image.2004.05.009</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6t2qmhirjbaqlgsvs5umyijcc4">fatcat:6t2qmhirjbaqlgsvs5umyijcc4</a> </span>
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Citation

Bouchra Abboud, Franck Davoine, Mô Dang. "Facial expression recognition and synthesis based on an appearance model." Signal processing. Image communication 19.8 (2004) 723-740

Learning Stylized Character Expressions from Humans [article]

Deepali Aneja, Alex Colburn, Gary Faigin, Linda Shapiro, Barbara Mones
<span title="2019-11-19">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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We developed : 1) a data-driven perceptual model of facial expressions, 2) a novel stylized character data set with cardinal expression annotations : FERG (Facial Expression Research Group) - DB (added  ...  We present DeepExpr, a novel expression transfer system from humans to multiple stylized characters via deep learning.  ...  Figure 1 . 1 Two new characters added to FERG-DB with surprise expression (left) and anger expression (right). Figure 2 . 2 Result from our combined approach -DeepExpr and Geometric features.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.08591v1">arXiv:1911.08591v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aaqrund4rza6hn3sgqpqplhlvu">fatcat:aaqrund4rza6hn3sgqpqplhlvu</a> </span>
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Citation

Deepali Aneja, Alex Colburn, Gary Faigin, Linda Shapiro, Barbara Mones. "Learning Stylized Character Expressions from Humans." arXiv (2019)

FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks [article]

Nicolas Olivier, Kelian Baert, Fabien Danieau, Franck Multon, Quentin Avril
<span title="2021-12-01">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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In this paper, we present FaceTuneGAN, a new 3D face model representation decomposing and encoding separately facial identity and facial expression.  ...  neutralization of expressive faces.  ...  Their approach to multi-label face translation considers mapping neutral faces to a limited amount of discrete expressions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2112.00532v1">arXiv:2112.00532v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fojcjzktqvewriiagh7o5zztiq">fatcat:fojcjzktqvewriiagh7o5zztiq</a> </span>
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Citation

Nicolas Olivier, Kelian Baert, Fabien Danieau, Franck Multon, Quentin Avril. "FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks." arXiv (2021)

3D Facial expression synthesis: A survey

Samuel Agianpuye, Jacey-Lynn Minoi
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wymtr5662bfozakpqfrkwjivde" style="color: black;">2013 8th International Conference on Information Technology in Asia (CITA)</a> </i> &nbsp;

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Facial expression synthesis is a process of generating new face shapes from a given face and still retain the distinct facial characteristics of the initial face.  ...  This paper aims to give an overview of the methods used for 3D facial expression synthesis.  ...  The mobile user is not required to have a neutral facial expression to log in. The device can grant access no matter the expression on the user's face.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cita.2013.6637552">doi:10.1109/cita.2013.6637552</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/cita/AgianpuyeM13.html">dblp:conf/cita/AgianpuyeM13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wualiur6bnc23p5oiwr3velk4u">fatcat:wualiur6bnc23p5oiwr3velk4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922013618/http://ir.unimas.my/13408/1/3D%20Facial%20Expression%20Synthesis%20A%20Survey%20%28abstract%29.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b0/e3/b0e3c87ffead261b886cd81b3ca5024cc25b33ac.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/cita.2013.6637552"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
Citation

Samuel Agianpuye, Jacey-Lynn Minoi. "3D Facial expression synthesis: A survey." 2013 8th International Conference on Information Technology in Asia (CITA) (2013) 1-7

3D model fitting for facial expression analysis under uncontrolled imaging conditions

Pierre Maurel, Aileen McGonigal, Renaud Keriven, Patrick Chauvel
<span title="">2008</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mlkexztp5vbdfo3nlsmbuf4oia" style="color: black;">Pattern Recognition (ICPR), Proceedings of the International Conference on</a> </i> &nbsp;

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https://web.archive.org/web/20170921215044/https://hal-enpc.archives-ouvertes.fr/hal-00835088/document

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Our goal is to fit a 3D animated model in a face image with possibly large variations of head pose and facial expressions.  ...  This paper addresses the recovering of 3D pose and animation of the human face in a monocular single image under uncontrolled imaging conditions.  ...  Given a new image of the same subject with a new facial expression, we use this new reference texture in order to fit the model in this image.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icpr.2008.4761736">doi:10.1109/icpr.2008.4761736</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icpr/MaurelMKC08.html">dblp:conf/icpr/MaurelMKC08</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v7kmiryzlbde5pax4vpbo3d7km">fatcat:v7kmiryzlbde5pax4vpbo3d7km</a> </span>
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Citation

Pierre Maurel, Aileen McGonigal, Renaud Keriven, Patrick Chauvel. "3D model fitting for facial expression analysis under uncontrolled imaging conditions." Pattern Recognition (ICPR), Proceedings of the International Conference on (2008) 1-4

Mimicing 3D transformations of emotional stylised animation with minimal 2D input

Fabian Di Fiore, Frank Van Reeth
<span title="">2003</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lmfbfntycbd2hlv5cs4ryztpce" style="color: black;">Proceedings of the 1st international conference on Computer graphics and interactive techniques in Austalasia and South East Asia - GRAPHITE &#39;03</a> </i> &nbsp;

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In this paper we introduce a novel approach to assist a graphical artist throughout the creation of traditional facial animation.  ...  To establish these goals, we introduce the concept of facial emotion channels, of which each represents a facial part expressing an emotion.  ...  In this context, we would like to express our thanks to the various people in the project providing ideas and for helping with the implementation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/604471.604478">doi:10.1145/604471.604478</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/graphite/FioreR03.html">dblp:conf/graphite/FioreR03</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rqmsrkcge5b5xpb2nz3kaq5lga">fatcat:rqmsrkcge5b5xpb2nz3kaq5lga</a> </span>
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Fabian Di Fiore, Frank Van Reeth. "Mimicing 3D transformations of emotional stylised animation with minimal 2D input." Proceedings of the 1st international conference on Computer graphics and interactive techniques in Austalasia and South East Asia - GRAPHITE '03 (2003) 21-28

Mimicing 3D transformations of emotional stylised animation with minimal 2D input

Fabian Di Fiore, Frank Van Reeth
<span title="">2003</span> <i title="ACM Press"> Proceedings of the 1st international conference on Computer graphics and interactive techniques in Austalasia and South East Asia - GRAPHITE &#39;03 </i> &nbsp;

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In this paper we introduce a novel approach to assist a graphical artist throughout the creation of traditional facial animation.  ...  To establish these goals, we introduce the concept of facial emotion channels, of which each represents a facial part expressing an emotion.  ...  In this context, we would like to express our thanks to the various people in the project providing ideas and for helping with the implementation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/604476.604478">doi:10.1145/604476.604478</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ta67lms57bbrxb4q5tro3ymob4">fatcat:ta67lms57bbrxb4q5tro3ymob4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808105926/http://research.edm.uhasselt.be/~fdifiore/research/GRAPHITE2003/GRAPHITE2003.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dc/a4/dca4704d96f44da95b9435f1c0c3536257fe2064.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/604476.604478"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>
Citation

Fabian Di Fiore, Frank Van Reeth. "Mimicing 3D transformations of emotional stylised animation with minimal 2D input." Proceedings of the 1st international conference on Computer graphics and interactive techniques in Austalasia and South East Asia - GRAPHITE '03 (2003)

Expression recognition for severely demented patients in music reminiscence-therapy

Antitza Dantcheva, Piotr Bilinski, Hung Thanh Nguyen, Jean-Claude Broutart, Francois Bremond
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wiu3vyiu4fcgnd4znybulgkh6m" style="color: black;">2017 25th European Signal Processing Conference (EUSIPCO)</a> </i> &nbsp;

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In this work we present a novel approach for automated recognition of facial activities and expressions of severely demented patients, where we distinguish between four activity and expression states,  ...  Additionally and importantly, the (elderly) patients exhibit generally less profound facial activities and expressions in a range of intensities and predominantly occurring in combinations (e.g., talking  ...  Given a videosequence of a facial activity / expression of an AD-patient, the proposed method (a) detects the face, (b) proceeds to extract improved dense trajectories (IDT), and (c) subsequently extracts  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23919/eusipco.2017.8081314">doi:10.23919/eusipco.2017.8081314</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/eusipco/DantchevaBNBB17.html">dblp:conf/eusipco/DantchevaBNBB17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/w453w7pzqvcwli2gaitte7u6ma">fatcat:w453w7pzqvcwli2gaitte7u6ma</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503052841/https://hal.archives-ouvertes.fr/hal-01543231/document" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fd/67/fd676798aaed3eaa326315761d5afa63b7a2234a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.23919/eusipco.2017.8081314"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
Citation

Antitza Dantcheva, Piotr Bilinski, Hung Thanh Nguyen, Jean-Claude Broutart, Francois Bremond. "Expression recognition for severely demented patients in music reminiscence-therapy." 2017 25th European Signal Processing Conference (EUSIPCO) (2017) 783-787

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