Výsledky vyhledávání - "Huaxiong Ding"

Akademický článek

Children Facial Expression Production: Influence of Age, Gender, Emotion Subtype, Elicitation Condition and Culture

Autor: Charline Grossard, Laurence Chaby, Stéphanie Hun, Hugues Pellerin, Jérémy Bourgeois, Arnaud Dapogny, Huaxiong Ding, Sylvie Serret, Pierre Foulon, Mohamed Chetouani, Liming Chen, Kevin Bailly, Ouriel Grynszpan, David Cohen

Publikováno v: Frontiers in Psychology, Vol 9 (2018)

The production of facial expressions (FEs) is an important skill that allows children to share and adapt emotions with their relatives and peers during social interactions. These skills are impaired in children with Autism Spectrum Disorder. However,

Externí odkaz: https://doaj.org/article/ad4c4712fe93462dbc4b952cf4344f76

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JEMImE: A Serious Game to Teach Children with ASD How to Adequately Produce Facial Expressions

Autor: Jérémy Bourgeois, Hedy Jean-Marie, Huaxiong Ding, Kevin Bailly, Séverine Dubuisson, Stéphanie Hun, Ouriel Grynszpan, Liming Chen, Arnaud Dapogny, Sylvie Serret, David Cohen, Pierre Foulon, Charline Grossard

Publikováno v: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)
2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), May 2018, Xi'an, France. pp.723-730, ⟨10.1109/FG.2018.00114⟩
FG

Being able to produce facial expressions (FEs) that are adequate given a social context is key to harmonious social development, particularly in the case of children plagued with autism spectrum disorder (ASD). In this paper, we introduce JEMImE, a s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4154e795e4d0994763d6cc981749916
https://hal.archives-ouvertes.fr/hal-02076870

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Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition

Autor: Hongying Meng, Asim Jan, Huaxiong Ding, Liming Chen, Huibin Li

Publikováno v: FG
IEEE Conference on Automatic Face and Gesture Recognition

Meaningful facial parts can convey key cues for both facial action unit detection and expression prediction. Textured 3D face scan can provide both detailed 3D geometric shape and 2D texture appearance cues of the face which are beneficial for Facial

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2bcedd2555bdd8e4b4a1770722df057

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Local circular patterns for multi-modal facial gender and ethnicity classification

Autor: Guangpeng Zhang, Di Huang, Liming Chen, Chen Wang, Huaxiong Ding, Yunhong Wang

Publikováno v: Image and Vision Computing
Image and Vision Computing, Elsevier, 2014, pp.1-13. ⟨10.1016/j.imavis.2014.06.009⟩

Gender and ethnicity are both key demographic attributes of human beings and they play a very fundamental and important role in automatic machine based face analysis, therefore, there has been increasing attention for face based gender and ethnicity

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c80a2204352c5d396256790cacb6f6ca
https://doi.org/10.1016/j.imavis.2014.06.009

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An efficient multimodal 2D + 3D feature-based approach to automatic facial expression recognition

Autor: Huaxiong Ding, Xi Zhao, Huibin Li, Liming Chen, Yunhong Wang, Di Huang, Jean-Marie Morvan

Publikováno v: Computer Vision and Image Understanding
Computer Vision and Image Understanding, Elsevier, 2015, 140, pp.83-92. ⟨10.1016/j.cviu.2015.07.005⟩

We propose a feature-based 2D+3D multimodal facial expression recognition method.It is fully automatic benefit from a large set of automatically detected landmarks.The complementarities between 2D and 3D features are comprehensively demonstrated.Our

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f52ab2b3c8e86945f8d324b0f1e5d277
https://hal.archives-ouvertes.fr/hal-02130337

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Facial ethnicity classification based on boosted local texture and shape descriptions

Autor: Liming Chen, Huaxiong Ding, Yunhong Wang, Di Huang

Publikováno v: FG

Ethnicity is a key demographic attribute of human beings and it plays a important role in automatic machine based face analysis, therefore, there has been increasing attention for face based ethnicity classification in recent years. In this paper, we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::299e51861e28efd2bf84b187bcfd30ef
https://doi.org/10.1109/fg.2013.6553815

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