المؤلفون: Maichol Dadi, Annalisa Franco, Davide Maltoni

المساهمون: Dadi, Maichol, Franco, Annalisa, Maltoni, Davide

مصطلحات موضوعية: Electronic Machine-Readable Travel Documents (eMRTD), face image manipulation, facial image analysis, face beautification, face morphing

وصف الملف: ELETTRONICO

Relation: ispartofbook:Proceedings of 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE); IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE); firstpage:710; lastpage:715; numberofpages:6; https://hdl.handle.net/11585/1001381; https://ieeexplore.ieee.org/document/10797036

الاتاحة: https://hdl.handle.net/11585/1001381
https://doi.org/10.1109/MetroXRAINE62247.2024.10797036
https://ieeexplore.ieee.org/document/10797036

المؤلفون: Hyeon Ah Seong, Chae Lin Seok, Eui Chul Lee

المصدر: Applied Sciences, Vol 14, Iss 11, p 4374 (2024)

مصطلحات موضوعية: non-contact measurement, facial image analysis, blood oxygen saturation, convolutional neural network, Shapley additive explanations, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/14/11/4374; https://doaj.org/toc/2076-3417; https://doaj.org/article/463616c3c6ab4bc98e06772bbf64d76a

الاتاحة: https://doi.org/10.3390/app14114374
https://doaj.org/article/463616c3c6ab4bc98e06772bbf64d76a

المؤلفون: Mészáros Andrea, Petrétei Dávid

المصدر: Hungarian Law Enforcement; Vol. 23 No. 3 (2023): Hungarian Law Enforcement; 149-157 ; Magyar Rendészet; Évf. 23 szám 3 (2023): Magyar Rendészet; 149-157 ; 1787-050X ; 1586-2895

مصطلحات موضوعية: arckép-elemzés, arcképazonosítás, kriminalisztika, ACE-V, daktiloszkópia, azonosítás-elmélet, facial image analysis, facial image identification, forensics, fingerprints, pattern evidence

وصف الملف: application/pdf

Relation: https://folyoirat.ludovika.hu/index.php/magyrend/article/view/6712/5653; https://folyoirat.ludovika.hu/index.php/magyrend/article/view/6712

الاتاحة: https://folyoirat.ludovika.hu/index.php/magyrend/article/view/6712
https://doi.org/10.32577/mr.2023.3.9

المؤلفون: Mohammad-Parsa Hosseini, Madison Beary, Alex Hadsell, Ryan Messersmith, Hamid Soltanian-Zadeh

المصدر: Frontiers in Computational Neuroscience, Vol 15 (2022)

مصطلحات موضوعية: deep learning, autism, children, diagnosis, facial image analysis, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fncom.2021.789998/full; https://doaj.org/toc/1662-5188

URL الوصول: https://doaj.org/article/f4e5abb9ab4947928fea779e058dd2a2

المؤلفون: Salik Ram Khanal (Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, Universidade de Trás-os-Montes e Alto Douro), Jaime Sampaio (Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, Universidade de Trás-os-Montes e Alto Douro), Juliana Exel (Department of Sport Science, Centre for Sport Science and University Sports, University of Vienna), Joao Barroso (Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, Universidade de Trás-os-Montes e Alto Douro), Vitor Filipe (Research Center in Sports Sciences, Health Sciences and Human Development, CIDESD, Universidade de Trás-os-Montes e Alto Douro)

المصدر: Journal of Imaging ; issn:2313-433X

مصطلحات موضوعية: computer vision, facial image analysis, color models, physical exercise intensity, heart rate

وصف الملف: application/pdf

Relation: hdl:11353/10.1680261; https://phaidra.univie.ac.at/o:1680261

الاتاحة: https://doi.org/10.3390/jimaging8090245
https://phaidra.univie.ac.at/o:1680261

المؤلفون: Anastasia Pampouchidou, Matthew Pediaditis, Anna Maridaki, Muhammad Awais, Calliope-Marina Vazakopoulou, Stelios Sfakianakis, Manolis Tsiknakis, Panagiotis Simos, Kostas Marias, Fan Yang, Fabrice Meriaudeau

المصدر: EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-11 (2017)

مصطلحات موضوعية: Depression assessment, Affective computing, Machine learning, Image processing, Facial image analysis, Motion history image, Electronics, TK7800-8360

وصف الملف: electronic resource

Relation: http://link.springer.com/article/10.1186/s13640-017-0212-3; https://doaj.org/toc/1687-5281

URL الوصول: https://doaj.org/article/9482022385124d0386431871febd624e

المؤلفون: Anping Song, Zuoyu Wu, Xuehai Ding, Qian Hu, Xinyi Di

المصدر: Future Internet; Volume 10; Issue 11; Pages: 111

مصطلحات موضوعية: facial image analysis, facial nerve paralysis, deep convolutional neural networks, image classification

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/fi10110111

الاتاحة: https://doi.org/10.3390/fi10110111

المؤلفون: Krish,, Ram P., Whelan, Paul F.

المساهمون: Devaney, Nicholas

المصدر: Krish,, Ram P. and Whelan, Paul F. orcid:0000-0001-9230-7656 (2016) Visual speech encoding based on facial landmark registration. In: Irish Machine Vision & Image Processing Conference 2016, 25-26 Aug 2016, Galway, Ireland. ISBN 978-0-9934207-1-9

مصطلحات موضوعية: Machine learning, Image processing, computer vision, image analysis, Visual Speech Encoding, Facial image analysis, Landmark Registration

وصف الملف: application/pdf

Relation: http://doras.dcu.ie/22091/1/RamKrish_IMVIP_2016.pdf; http://hdl.handle.net/10379/6136; http://doras.dcu.ie/22091/

الاتاحة: http://doras.dcu.ie/22091/

المؤلفون: Mygdalis, Vasileios, Iosifidis, Alexandros, Tefas, Anastasios, Pitas, Ioannis

المصدر: Mygdalis , V , Iosifidis , A , Tefas , A & Pitas , I 2017 , One class classification applied in facial image analysis . in 2016 IEEE International Conference on Image Process (ICIP 2016) : Proceedings of a meeting held 25-29 September 2016, Phoenix, AZ, USA . Proceedings of the IEEE International Conference on Image Processing (ICIP) , Institute of Electrical and Electronics Engineers (IEEE) , pp. 1644-1648 , IEEE International Conference on Image Processing , Phoenix, Arizona , United States , 25/09/16 . https://doi.org/10.1109/ICIP.2016.7532637

مصطلحات موضوعية: Facial image analysis, one-class classification, regularization

وصف الملف: application/pdf

الاتاحة: https://hdl.handle.net/1983/f366155b-6047-40be-a826-c25415cdf091
https://research-information.bris.ac.uk/en/publications/f366155b-6047-40be-a826-c25415cdf091
https://doi.org/10.1109/ICIP.2016.7532637
https://research-information.bris.ac.uk/ws/files/87465112/Ioannis_Pitas_One_Class_Classification_Applied_In_Facial_Image_Analysis.pdf

المؤلفون: Hiroyasu KOSHIMIZU, Takuma MASTUBARA, Yosuke NAGASAKA, 松原 琢磨, 輿水 大和, 長坂 洋輔

المصدر: 精密工学会誌 / Journal of the Japan Society for Precision Engineering. 2018, 84(4):339

المؤلفون: Makoto Jimbu, Nanami Araki, Tomoko Ichikawa, Yasuo Kawai, 川合 康央, 市川 智子, 神部 真音, 荒木 七海

المصدر: PROCEEDINGS OF THE ANNUAL CONFERENCE OF JSSD. 2019, :412

المؤلفون: Mohammad-Parsa Hosseini, Madison Beary, Alex Hadsell, Ryan Messersmith, Hamid Soltanian-Zadeh

المصدر: Frontiers in Computational Neuroscience, Vol 15 (2022)
Frontiers in Computational Neuroscience

مصطلحات موضوعية: Cellular and Molecular Neuroscience, children, diagnosis, Neuroscience (miscellaneous), deep learning, autism, facial image analysis, Neurosciences. Biological psychiatry. Neuropsychiatry, Neuroscience, Original Research, RC321-571

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb2071cc6c4fd271edab6b3f2e349ba2
https://www.frontiersin.org/articles/10.3389/fncom.2021.789998/full

المؤلفون: Iosifidis, Alexandros, Tefas, Anastasios, Pitas, Ioannis

المصدر: Iosifidis , A , Tefas , A & Pitas , I 2014 , ' Exploiting Local Class Information in Extreme Learning Machine ' , Paper presented at International Joint Conference on Computational Intelligence (IJCCI) , Rome , Italy , 22/10/14 - 24/10/14 .

مصطلحات موضوعية: Single-hidden Layer Feedforward Neural networks, Extreme Learning Machine, Facial Image Analysis

وصف الملف: application/pdf

الاتاحة: https://hdl.handle.net/1983/93b7bf1e-ccd3-45ff-9b96-61952a2153c7
https://research-information.bris.ac.uk/en/publications/93b7bf1e-ccd3-45ff-9b96-61952a2153c7
https://research-information.bris.ac.uk/ws/files/76352533/Ionnas_Pitas_Exploiting_Local_Class_Information_in_Extreme_Learning_Machine_2014.pdf

المؤلفون: Kostas Marias, Fan Yang, Manolis Tsiknakis, Anastasia Pampouchidou, Panagiotis G. Simos, Matthew Pediaditis, Fabrice Meriaudeau

المساهمون: Laboratoire Electronique, Informatique et Image ( Le2i ), Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), University of Crete School of medicine, Institute of Computer Science ( ICS-FORTH ), Foundation for Research and Technology - Hellas ( FORTH ), SRI International [Menlo Park] ( SRI ), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Institute of Computer Science (ICS-FORTH), Foundation for Research and Technology - Hellas (FORTH), Department of Informatics Engineering, School of Engineering [TEI of Crete], Technological Educational Institute of Crete, Centre for Intelligent Signal and Imaging Research [Petronas] (CISIR), Universiti Teknologi PETRONAS (UTP), Greek Ministry of Development-GSRT, European Project: 611516,SEMEOTICONS, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Institute of Computer Science [FORTH, Heraklion] (ICS-FORTH), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

المصدر: IEEE Transactions on Affective Computing
IEEE Transactions on Affective Computing, 2017, pp.1-1. 〈10.1109/TAFFC.2017.2724035〉
IEEE Transactions on Affective Computing, Institute of Electrical and Electronics Engineers, 2019, 10 (4), pp.445-470. ⟨10.1109/TAFFC.2017.2724035⟩
IEEE Transactions on Affective Computing, 2019, 10 (4), pp.445-470. ⟨10.1109/TAFFC.2017.2724035⟩

مصطلحات موضوعية: Monitoring, Rating-Scale, Remission, Computer science, Performance, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, Adolescents, computer.software_genre, Tools, Attentional Bias, [SPI]Engineering Sciences [physics], 03 medical and health sciences, 0302 clinical medicine, Dynamic-Analysis, Mood, Diagnosis, Disorder, [ SPI ] Engineering Sciences [physics], 0202 electrical engineering, electronic engineering, information engineering, affective computing, Affective computing, Sensory cue, ComputingMilieux_MISCELLANEOUS, Visualization, Facial expression, Data collection, Contextual image classification, business.industry, Dimensionality reduction, facial image analysis, Reliability, Europe, Facial Expression, Human-Computer Interaction, machine learning, Depression assessment, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, 030217 neurology & neurosurgery, Software, Natural language processing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d38f6e8d3043c20a3d6541edefc2774c
https://doi.org/10.1109/taffc.2017.2724035

المؤلفون: Kas, Mohamed

المساهمون: Connaissance et Intelligence Artificielle Distribuées Dijon (CIAD), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB), Université Bourgogne Franche-Comté, Université Ibn Tofail. Faculté des sciences de Kénitra, Yassine Ruichek, Rochdi Messoussi

المصدر: https://theses.hal.science/tel-03600343 ; Other. Université Bourgogne Franche-Comté; Université Ibn Tofail. Faculté des sciences de Kénitra, 2021. English. ⟨NNT : 2021UBFCA009⟩.

مصطلحات موضوعية: Machine learning, Classification, Deep learning, Deep neural networks, Cnn, Facial image analysis, Apprentissage machine, Apprentissage profond, Réseaux de neurones profonds, Analyse d'images faciales, [SPI.OTHER]Engineering Sciences [physics]/Other

Relation: NNT: 2021UBFCA009; tel-03600343; https://theses.hal.science/tel-03600343; https://theses.hal.science/tel-03600343/document; https://theses.hal.science/tel-03600343/file/These_KAS_UTBM.pdf

الاتاحة: https://theses.hal.science/tel-03600343
https://theses.hal.science/tel-03600343/document
https://theses.hal.science/tel-03600343/file/These_KAS_UTBM.pdf

المؤلفون: Pampouchidou, A., Pediaditis, M., Kazantzaki, E., Sfakianakis, S., Apostolaki, I., Argyraki, K., Manousos, D., Meriaudeau, F., Marias, K., Yang, F., Tsiknakis, M., Basta, M., Vgontzas, A., Simos, P.

المساهمون: Imagerie et Vision Artificielle Dijon (ImViA), Université de Bourgogne (UB), Foundation for Research and Technology - Hellas (FORTH), Division of Psychiatry, School of Medicine, University of Crete, University of Crete School of medicine, University of Crete School of medicine-University of Crete School of medicine, Department of Electronics and Computer Engineer Grèce ing (HMMY), Technical University of Crete Chania (TUC), State Scholarships Foundation (Legacy fund in the memory of Maria Zaousi)

المصدر: ISSN: 0932-8092.

مصطلحات موضوعية: Affective computing, Depression assessment, Facial image analysis, Image processing, Machine learning, Emotion, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Relation: hal-02612022; https://u-bourgogne.hal.science/hal-02612022

الاتاحة: https://u-bourgogne.hal.science/hal-02612022
https://doi.org/10.1007/s00138-020-01080-7

المؤلفون: BIAN, Jiali, MEI, Xue, XUE, Yu, WU, Liang, DING, Yao

المصدر: Volume: 27, Issue: 3 1680-1695
Turkish Journal of Electrical Engineering and Computer Science

مصطلحات موضوعية: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Clustering,temporal segmentation,similarity calculation,facial image analysis

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::509f3ef8ae5ddde53d8efe678b589012
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/45742/577526

المؤلفون: Pampouchidou, Anastasia, Simos, Panagiotis, Marias, Kostas, Meriaudeau, Fabrice, Yang, Fan, Pediaditis, Matthew, Tsiknakis, Manolis

المساهمون: Laboratoire Electronique, Informatique et Image UMR6306 (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), University of Crete School of medicine, Institute of Computer Science FORTH, Heraklion (ICS-FORTH), Foundation for Research and Technology - Hellas (FORTH), Department of Informatics Engineering, School of Engineering TEI of Crete, Technological Educational Institute of Crete, Centre for Intelligent Signal and Imaging Research Petronas (CISIR), Universiti Teknologi PETRONAS (UTP), Greek Ministry of Development-GSRT, European Project: 611516,SEMEOTICONS

المصدر: ISSN: 1949-3045 ; IEEE Transactions on Affective Computing ; https://hal.science/hal-01794280 ; IEEE Transactions on Affective Computing, 2019, 10 (4), pp.445-470. ⟨10.1109/TAFFC.2017.2724035⟩.

مصطلحات موضوعية: Visualization, Monitoring, Europe, Mood, Reliability, Tools, Depression assessment, affective computing, machine learning, facial image analysis, Facial Expression, Attentional Bias, Dynamic-Analysis, Rating-Scale, Diagnosis, Disorder, Adolescents, Performance, Remission, [SPI]Engineering Sciences [physics]

Relation: info:eu-repo/grantAgreement// 611516/EU/grant entitled SEMEOTICONS (SEMEiotic Oriented Technology for Individual's CardiOmetabolic risk self-assessmeNt and Self-monitoring) - European Commission /SEMEOTICONS; hal-01794280; https://hal.science/hal-01794280

الاتاحة: https://hal.science/hal-01794280
https://doi.org/10.1109/TAFFC.2017.2724035

المؤلفون: Cohn, Jeffrey F., author, Zlochower, Adena J., author, Lien, James, author, Kanade, Takeo, author

المصدر: What the Face Reveals : Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS), 2005, ill.

الاتاحة: http://www.oxfordscholarship.com/view/10.1093/acprof:oso/9780195179644.001.0001/acprof-9780195179644-chapter-18

المؤلفون: Serradilla Casado, Oscar

المساهمون: Dornaika, Fadi, Arganda Carreras, Ignacio

المصدر: Addi. Archivo Digital para la Docencia y la Investigación
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مصطلحات موضوعية: pattern recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, facial image analysis, computer vision

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::269e1192b0e9b0fa71a52e7a658495fc
http://hdl.handle.net/10810/22629