Literatura académica sobre el tema "Facial expression"
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Artículos de revistas sobre el tema "Facial expression"
Chapre Lopita Choudhury, Harshada. "Emotion / Facial Expression Detection". International Journal of Science and Research (IJSR) 12, n.º 5 (5 de mayo de 2023): 1395–98. http://dx.doi.org/10.21275/sr23516180518.
Texto completoMehra, Shivam, Prabhat Parashar, Akshay Aggarwal y Deepika Rawat. "FACIAL EXPRESSION RECOGNITION". International Journal of Advanced Research 12, n.º 01 (31 de enero de 2024): 1109–13. http://dx.doi.org/10.21474/ijar01/18230.
Texto completoXIONG, LEI, NANNING ZHENG, SHAOYI DU y JIANYI LIU. "FACIAL EXPRESSION SYNTHESIS BASED ON FACIAL COMPONENT MODEL". International Journal of Pattern Recognition and Artificial Intelligence 23, n.º 03 (mayo de 2009): 637–57. http://dx.doi.org/10.1142/s0218001409007235.
Texto completoPrkachin, Kenneth M. "Assessing Pain by Facial Expression: Facial Expression as Nexus". Pain Research and Management 14, n.º 1 (2009): 53–58. http://dx.doi.org/10.1155/2009/542964.
Texto completoEkman, Paul. "Facial Appearance and Facial Expression". Facial Plastic Surgery Clinics of North America 2, n.º 3 (agosto de 1994): 235–39. http://dx.doi.org/10.1016/s1064-7406(23)00426-1.
Texto completoDewangan Asha Ambhaikar, Leelkanth. "Real Time Facial Expression Analysis Using PCA". International Journal of Science and Research (IJSR) 1, n.º 2 (5 de febrero de 2012): 27–30. http://dx.doi.org/10.21275/ijsr11120203.
Texto completoYagi, Satoshi, Yoshihiro Nakata, Yutaka Nakamura y Hiroshi Ishiguro. "Can an android’s posture and movement discriminate against the ambiguous emotion perceived from its facial expressions?" PLOS ONE 16, n.º 8 (10 de agosto de 2021): e0254905. http://dx.doi.org/10.1371/journal.pone.0254905.
Texto completoSadat, Mohammed Nashat. "Facial Emotion Recognition using Convolutional Neural Network". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, n.º 05 (9 de mayo de 2024): 1–5. http://dx.doi.org/10.55041/ijsrem33503.
Texto completoSaha, Priya, Debotosh Bhattacharjee, Barin Kumar De y Mita Nasipuri. "Mathematical Representations of Blended Facial Expressions towards Facial Expression Modeling". Procedia Computer Science 84 (2016): 94–98. http://dx.doi.org/10.1016/j.procs.2016.04.071.
Texto completoRen, Zhuoyue. "Facial expression classification". Highlights in Science, Engineering and Technology 41 (30 de marzo de 2023): 43–52. http://dx.doi.org/10.54097/hset.v41i.6741.
Texto completoTesis sobre el tema "Facial expression"
Testa, Rafael Luiz. "Síntese de expressões faciais em fotografias para representação de emoções". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-31012019-165605/.
Texto completoThe ability to process and identify facial emotions are essential factors for an individual\'s social interaction. Some psychiatric disorders can limit an individual\'s ability to recognize emotions in facial expressions. This problem could be confronted by using computational techniques in order to develop learning environments for diagnosis, evaluation, and training in identifying facial emotions. With this motivation, the objective of this work is to define, implement and evaluate a method to synthesize realistic facial expression that represents emotions in images of real people. The main idea of the studies found in the literature is that a facial expression of one persons image can be reenacted in an another persons image. The study differs from the approaches presented in the literature when proposing a technique that considers the similarity between facial images to choose the one that will be used as the origin for reenactment. As a result, we intend to increase the realism of the synthesized images. Our approach to solve the problem, besides searching for the most similar facial components in the image dataset, also deforms the facial elements and maps the differences of illumination in the target image. A visual analysis showed that the images synthesized on the basis of similar faces presented an adequate degree of realism, especially when compared with images synthesized from random faces. The study will contribute to the generation of the images applied to tools for the diagnosis and therapy of psychiatric disorders, and also contribute to the computational field, through the proposition of new techniques for facial expression synthesis
Neth, Donald C. "Facial configuration and the perception of facial expression". Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1189090729.
Texto completoBaltrušaitis, Tadas. "Automatic facial expression analysis". Thesis, University of Cambridge, 2014. https://www.repository.cam.ac.uk/handle/1810/245253.
Texto completoMikheeva, Olga. "Perceptual facial expression representation". Thesis, KTH, Robotik, perception och lärande, RPL, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217307.
Texto completoAnsiktsuttryck spelar en viktig roll i områden som mänsklig kommunikation eller vid utvärdering av medicinska tillstånd. För att tillämpa maskininlärning i dessa områden skulle det vara fördelaktigt att ha en representation av ansiktsuttryck som bevarar människors uppfattning av likhet. I det här arbetet används ett data-drivet angreppssätt till representationsinlärning av ansiktsuttryck. Metodologin bygger på s. k. Variational Autoencoders och eliminerar utseende-relaterade drag från den latenta rymden genom att använda neutrala ansiktsuttryck som extra input-data. För att förbättra kvaliteten på den inlärda representationen så modifierar vi a priori-distributionen för den latenta variabeln för att ålägga den struktur på den latenta rymden som är överensstämmande med mänsklig perception av ansiktsuttryck. Vi utför experiment på två dataset och även insamlad likhets-data och visar att den människolika topologin i den latenta representationen hjälper till att förbättra prestandan på en typisk emotionsklassificeringsuppgift samt fördelarna med att använda en probabilistisk generativ modell när man undersöker latenta dimensioners roll i den generativa processen.
Li, Jingting. "Facial Micro-Expression Analysis". Thesis, CentraleSupélec, 2019. http://www.theses.fr/2019CSUP0007.
Texto completoThe Micro-expressions (MEs) are very important nonverbal communication clues. However, due to their local and short nature, spotting them is challenging. In this thesis, we address this problem by using a dedicated local and temporal pattern (LTP) of facial movement. This pattern has a specific shape (S-pattern) when ME are displayed. Thus, by using a classical classification algorithm (SVM), MEs are distinguished from other facial movements. We also propose a global final fusion analysis on the whole face to improve the distinction between ME (local) and head (global) movements. However, the learning of S-patterns is limited by the small number of ME databases and the low volume of ME samples. Hammerstein models (HMs) are known to be a good approximation of muscle movements. By approximating each S-pattern with a HM, we can both filter outliers and generate new similar S-patterns. By this way, we perform a data augmentation for S-pattern training dataset and improve the ability to differentiate MEs from other facial movements. In the first ME spotting challenge of MEGC2019, we took part in the building of the new result evaluation method. In addition, we applied our method to spotting ME in long videos and provided the baseline result for the challenge. The spotting results, performed on CASME I and CASME II, SAMM and CAS(ME)2, show that our proposed LTP outperforms the most popular spotting method in terms of F1-score. Adding the fusion process and data augmentation improve even more the spotting performance
Munasinghe, Kankanamge Sarasi Madushika. "Facial analysis models for face and facial expression recognition". Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/118197/1/Sarasi%20Madushika_Munasinghe%20Kankanamge_Thesis.pdf.
Texto completoMiao, Yu. "A Real Time Facial Expression Recognition System Using Deep Learning". Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38488.
Texto completoPierce, Meghan. "Facial Expression Intelligence Scale (FEIS): Recognizing and Interpreting Facial Expressions and Implications for Consumer Behavior". Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/26786.
Texto completoPh. D.
Carter, Jeffrey R. "Facial expression analysis in schizophrenia". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ58398.pdf.
Texto completoYu, Kaimin. "Towards Realistic Facial Expression Recognition". Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9459.
Texto completoLibros sobre el tema "Facial expression"
Young, A. W. Facial Expression Recognition. London ; New York : Psychology Press, 2016. | Series: World: Psychology Press, 2016. http://dx.doi.org/10.4324/9781315715933.
Texto completoTetsuo, Yamaori. Nihonjin no kao: Zuzō kara bunka o yomu. Tōkyō: Nihon Hōsō Shuppan Kyōkai, 1986.
Buscar texto completoSmallman, Steve. If the wind changes. Mankato, Minn: QEB Pub., 2012.
Buscar texto completoA, Russell James y Fernández Dols José Miguel, eds. The psychology of facial expression. Cambridge: Cambridge University Press, 1997.
Buscar texto completoDarris, Dobbs, ed. Animating facial features and expression. Rockland, Mass: Charles River Media, 1999.
Buscar texto completoInternational, Symposium on the Facial Nerve (8th 1997 Ehime-ken Japan). New horizons in facial nerve research and facial expression. The Hague: Kugler, 1998.
Buscar texto completoPeck, Stephen Rogers. Atlas of facial expression: An account of facial expression for artists, actors, and writers. Oxford: Oxf.U.P.(N.Y.), 1990.
Buscar texto completoBoris, Cyrulnik, ed. Le Visage: Sens et contresens. Paris: Eshel, 1988.
Buscar texto completoOlson, Rex. Facial animation. Burbank, CA: Desktop Images, 2003.
Buscar texto completoIkeda, Susumu. Hito no kao matawa hyōjō no shikibetsu ni tsuite: Shoki no jikkenteki kenkyū o chūshin to shita shiteki tenbō. Suita-shi: Kansai Daigaku Shuppanbu, 1987.
Buscar texto completoCapítulos de libros sobre el tema "Facial expression"
Gong, Shaogang y Tao Xiang. "Understanding Facial Expression". En Visual Analysis of Behaviour, 69–93. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-670-2_4.
Texto completoKanade, Takeo. "Facial Expression Analysis". En Lecture Notes in Computer Science, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564386_1.
Texto completoSebe, Nicu y Michael S. Lew. "Facial Expression Recognition". En Computational Imaging and Vision, 163–97. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0295-9_7.
Texto completoPantic, Maja. "Facial Expression Recognition". En Encyclopedia of Biometrics, 1–8. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27733-7_98-3.
Texto completoFrijda, N. H. "Facial Expression Processing". En Aspects of Face Processing, 319–25. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4420-6_34.
Texto completoOberwelland, Eileen, Whitney Mattson, Naomi Ekas y Daniel S. Messinger. "Facial Expression Learning". En Encyclopedia of the Sciences of Learning, 1259–62. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_1925.
Texto completoTian, Yingli, Takeo Kanade y Jeffrey F. Cohn. "Facial Expression Recognition". En Handbook of Face Recognition, 487–519. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-932-1_19.
Texto completoDe la Torre, Fernando y Jeffrey F. Cohn. "Facial Expression Analysis". En Visual Analysis of Humans, 377–409. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-997-0_19.
Texto completoPantic, Maja. "Facial Expression Recognition". En Encyclopedia of Biometrics, 400–406. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-73003-5_98.
Texto completoNaini, Farhad B. "Facial Expression: Influence and Significance". En Facial Aesthetics, 45–53. West Sussex, UK: John Wiley & Sons, Ltd., 2013. http://dx.doi.org/10.1002/9781118786567.ch3.
Texto completoActas de conferencias sobre el tema "Facial expression"
Mal, Hari Prasad y P. Swarnalatha. "Facial expression detection using facial expression model". En 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8389644.
Texto completoPark, Sungsoo, Jongju Shin y Daijin Kim. "Facial expression analysis with facial expression deformation". En 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761398.
Texto completoMurtaza, Marryam, Muhammad Sharif, Musarrat AbdullahYasmin y Tanveer Ahmad. "Facial expression detection using Six Facial Expressions Hexagon (SFEH) model". En 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2019. http://dx.doi.org/10.1109/ccwc.2019.8666602.
Texto completoReveriano, Francisco, Unal Sakoglu y Jiang Lu. "Facial Expression Recognition". En PEARC '19: Practice and Experience in Advanced Research Computing. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3332186.3333039.
Texto completoAmano, Toshiyuki. "Coded facial expression". En SA '16: SIGGRAPH Asia 2016. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2988240.2988243.
Texto completoMatre, G. N. y S. K. Shah. "Facial expression detection". En 2013 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2013. http://dx.doi.org/10.1109/iccic.2013.6724242.
Texto completoKulkarni, Ketki R. y Sahebrao B. Bagal. "Facial expression recognition". En 2015 International Conference on Information Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/infop.2015.7489442.
Texto completoCongyong Su y Li Huang. "Facial Expression Hallucination". En 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05). IEEE, 2005. http://dx.doi.org/10.1109/acvmot.2005.53.
Texto completoHongcheng Wang y Ahuja. "Facial expression decomposition". En ICCV 2003: 9th International Conference on Computer Vision. IEEE, 2003. http://dx.doi.org/10.1109/iccv.2003.1238452.
Texto completoKulkarni, Ketki R. y Sahebrao B. Bagal. "Facial Expression Recognition". En 2015 Annual IEEE India Conference (INDICON). IEEE, 2015. http://dx.doi.org/10.1109/indicon.2015.7443572.
Texto completoInformes sobre el tema "Facial expression"
Kulhandjian, Hovannes. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning. Mineta Transportation Institute, septiembre de 2021. http://dx.doi.org/10.31979/mti.2021.2015.
Texto completoIvanova, E. S. The accuracy of identification of spontaneous facial expressions of male and female faces. LJournal, 2017. http://dx.doi.org/10.18411/a-2017-010.
Texto completoIvanova, E. S. PERFORMANCE INDICATORS OF THE VOLUME Active vocabulary EMOTIONS AND ACCURACY Recognition of facial expressions STUDENTS. LJournal, 2017. http://dx.doi.org/10.18411/a-2017-002.
Texto completoPeschka-Daskalos, Patricia. An Intercultural Analysis of Differences in Appropriateness Ratings of Facial Expressions Between Japanese and American Subjects. Portland State University Library, enero de 2000. http://dx.doi.org/10.15760/etd.6584.
Texto completoMakhachashvili, Rusudan K., Svetlana I. Kovpik, Anna O. Bakhtina y Ekaterina O. Shmeltser. Technology of presentation of literature on the Emoji Maker platform: pedagogical function of graphic mimesis. [б. в.], julio de 2020. http://dx.doi.org/10.31812/123456789/3864.
Texto completoBloch, G. y H. S. Woodard. regulation of size related division of labor in a key pollinator and its impact on crop pollination efficacy. Israel: United States-Israel Binational Agricultural Research and Development Fund, 2021. http://dx.doi.org/10.32747/2021.8134168.bard.
Texto completoNorelli, John L., Moshe Flaishman, Herb Aldwinckle y David Gidoni. Regulated expression of site-specific DNA recombination for precision genetic engineering of apple. United States Department of Agriculture, marzo de 2005. http://dx.doi.org/10.32747/2005.7587214.bard.
Texto completoPochtoviuk, Svitlana I., Tetiana A. Vakaliuk y Andrey V. Pikilnyak. Possibilities of application of augmented reality in different branches of education. [б. в.], febrero de 2020. http://dx.doi.org/10.31812/123456789/3756.
Texto completoSklenar, Ihor. The newspaper «Christian Voice» (Munich) in the postwar period: history, thematic range of expression, leading authors and publicists. Ivan Franko National University of Lviv, febrero de 2022. http://dx.doi.org/10.30970/vjo.2022.51.11393.
Texto completoDatsyshyn, Chrystyna. FUNCTIONAL PARAMETERS OF ANTHROPONYM AS ONE OF THE VARIETIES OF FACTUAL MATERIAL IN THE MEDIA TEXT. Ivan Franko National University of Lviv, marzo de 2024. http://dx.doi.org/10.30970/vjo.2024.54-55.12169.
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