Academic literature on the topic 'Facial expression'
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Journal articles on the topic "Facial expression"
Chapre Lopita Choudhury, Harshada. "Emotion / Facial Expression Detection." International Journal of Science and Research (IJSR) 12, no. 5 (May 5, 2023): 1395–98. http://dx.doi.org/10.21275/sr23516180518.
Full textMehra, Shivam, Prabhat Parashar, Akshay Aggarwal, and Deepika Rawat. "FACIAL EXPRESSION RECOGNITION." International Journal of Advanced Research 12, no. 01 (January 31, 2024): 1109–13. http://dx.doi.org/10.21474/ijar01/18230.
Full textXIONG, LEI, NANNING ZHENG, SHAOYI DU, and JIANYI LIU. "FACIAL EXPRESSION SYNTHESIS BASED ON FACIAL COMPONENT MODEL." International Journal of Pattern Recognition and Artificial Intelligence 23, no. 03 (May 2009): 637–57. http://dx.doi.org/10.1142/s0218001409007235.
Full textPrkachin, Kenneth M. "Assessing Pain by Facial Expression: Facial Expression as Nexus." Pain Research and Management 14, no. 1 (2009): 53–58. http://dx.doi.org/10.1155/2009/542964.
Full textEkman, Paul. "Facial Appearance and Facial Expression." Facial Plastic Surgery Clinics of North America 2, no. 3 (August 1994): 235–39. http://dx.doi.org/10.1016/s1064-7406(23)00426-1.
Full textDewangan Asha Ambhaikar, Leelkanth. "Real Time Facial Expression Analysis Using PCA." International Journal of Science and Research (IJSR) 1, no. 2 (February 5, 2012): 27–30. http://dx.doi.org/10.21275/ijsr11120203.
Full textYagi, Satoshi, Yoshihiro Nakata, Yutaka Nakamura, and Hiroshi Ishiguro. "Can an android’s posture and movement discriminate against the ambiguous emotion perceived from its facial expressions?" PLOS ONE 16, no. 8 (August 10, 2021): e0254905. http://dx.doi.org/10.1371/journal.pone.0254905.
Full textSadat, Mohammed Nashat. "Facial Emotion Recognition using Convolutional Neural Network." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (May 9, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem33503.
Full textSaha, Priya, Debotosh Bhattacharjee, Barin Kumar De, and 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.
Full textRen, Zhuoyue. "Facial expression classification." Highlights in Science, Engineering and Technology 41 (March 30, 2023): 43–52. http://dx.doi.org/10.54097/hset.v41i.6741.
Full textDissertations / Theses on the topic "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/.
Full textThe 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.
Full textBaltrušaitis, Tadas. "Automatic facial expression analysis." Thesis, University of Cambridge, 2014. https://www.repository.cam.ac.uk/handle/1810/245253.
Full textMikheeva, 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.
Full textAnsiktsuttryck 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.
Full textThe 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.
Full textMiao, 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.
Full textPierce, 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.
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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.
Full textYu, Kaimin. "Towards Realistic Facial Expression Recognition." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9459.
Full textBooks on the topic "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.
Full textTetsuo, Yamaori. Nihonjin no kao: Zuzō kara bunka o yomu. Tōkyō: Nihon Hōsō Shuppan Kyōkai, 1986.
Find full textSmallman, Steve. If the wind changes. Mankato, Minn: QEB Pub., 2012.
Find full textA, Russell James, and Fernández Dols José Miguel, eds. The psychology of facial expression. Cambridge: Cambridge University Press, 1997.
Find full textDarris, Dobbs, ed. Animating facial features and expression. Rockland, Mass: Charles River Media, 1999.
Find full textInternational, Symposium on the Facial Nerve (8th 1997 Ehime-ken Japan). New horizons in facial nerve research and facial expression. The Hague: Kugler, 1998.
Find full textPeck, Stephen Rogers. Atlas of facial expression: An account of facial expression for artists, actors, and writers. Oxford: Oxf.U.P.(N.Y.), 1990.
Find full textBoris, Cyrulnik, ed. Le Visage: Sens et contresens. Paris: Eshel, 1988.
Find full textOlson, Rex. Facial animation. Burbank, CA: Desktop Images, 2003.
Find full textIkeda, 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.
Find full textBook chapters on the topic "Facial expression"
Gong, Shaogang, and Tao Xiang. "Understanding Facial Expression." In Visual Analysis of Behaviour, 69–93. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-670-2_4.
Full textKanade, Takeo. "Facial Expression Analysis." In Lecture Notes in Computer Science, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11564386_1.
Full textSebe, Nicu, and Michael S. Lew. "Facial Expression Recognition." In Computational Imaging and Vision, 163–97. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0295-9_7.
Full textPantic, Maja. "Facial Expression Recognition." In Encyclopedia of Biometrics, 1–8. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27733-7_98-3.
Full textFrijda, N. H. "Facial Expression Processing." In Aspects of Face Processing, 319–25. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4420-6_34.
Full textOberwelland, Eileen, Whitney Mattson, Naomi Ekas, and Daniel S. Messinger. "Facial Expression Learning." In 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.
Full textTian, Yingli, Takeo Kanade, and Jeffrey F. Cohn. "Facial Expression Recognition." In Handbook of Face Recognition, 487–519. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-932-1_19.
Full textDe la Torre, Fernando, and Jeffrey F. Cohn. "Facial Expression Analysis." In Visual Analysis of Humans, 377–409. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-997-0_19.
Full textPantic, Maja. "Facial Expression Recognition." In Encyclopedia of Biometrics, 400–406. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-73003-5_98.
Full textNaini, Farhad B. "Facial Expression: Influence and Significance." In Facial Aesthetics, 45–53. West Sussex, UK: John Wiley & Sons, Ltd., 2013. http://dx.doi.org/10.1002/9781118786567.ch3.
Full textConference papers on the topic "Facial expression"
Mal, Hari Prasad, and P. Swarnalatha. "Facial expression detection using facial expression model." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8389644.
Full textPark, Sungsoo, Jongju Shin, and Daijin Kim. "Facial expression analysis with facial expression deformation." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761398.
Full textMurtaza, Marryam, Muhammad Sharif, Musarrat AbdullahYasmin, and Tanveer Ahmad. "Facial expression detection using Six Facial Expressions Hexagon (SFEH) model." In 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2019. http://dx.doi.org/10.1109/ccwc.2019.8666602.
Full textReveriano, Francisco, Unal Sakoglu, and Jiang Lu. "Facial Expression Recognition." In PEARC '19: Practice and Experience in Advanced Research Computing. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3332186.3333039.
Full textAmano, Toshiyuki. "Coded facial expression." In SA '16: SIGGRAPH Asia 2016. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2988240.2988243.
Full textMatre, G. N., and S. K. Shah. "Facial expression detection." In 2013 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2013. http://dx.doi.org/10.1109/iccic.2013.6724242.
Full textKulkarni, Ketki R., and Sahebrao B. Bagal. "Facial expression recognition." In 2015 International Conference on Information Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/infop.2015.7489442.
Full textCongyong Su and Li Huang. "Facial Expression Hallucination." In 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05). IEEE, 2005. http://dx.doi.org/10.1109/acvmot.2005.53.
Full textHongcheng Wang and Ahuja. "Facial expression decomposition." In ICCV 2003: 9th International Conference on Computer Vision. IEEE, 2003. http://dx.doi.org/10.1109/iccv.2003.1238452.
Full textKulkarni, Ketki R., and Sahebrao B. Bagal. "Facial Expression Recognition." In 2015 Annual IEEE India Conference (INDICON). IEEE, 2015. http://dx.doi.org/10.1109/indicon.2015.7443572.
Full textReports on the topic "Facial expression"
Kulhandjian, Hovannes. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning. Mineta Transportation Institute, September 2021. http://dx.doi.org/10.31979/mti.2021.2015.
Full textIvanova, 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.
Full textIvanova, 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.
Full textPeschka-Daskalos, Patricia. An Intercultural Analysis of Differences in Appropriateness Ratings of Facial Expressions Between Japanese and American Subjects. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6584.
Full textMakhachashvili, Rusudan K., Svetlana I. Kovpik, Anna O. Bakhtina, and Ekaterina O. Shmeltser. Technology of presentation of literature on the Emoji Maker platform: pedagogical function of graphic mimesis. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3864.
Full textBloch, G., and 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.
Full textNorelli, John L., Moshe Flaishman, Herb Aldwinckle, and David Gidoni. Regulated expression of site-specific DNA recombination for precision genetic engineering of apple. United States Department of Agriculture, March 2005. http://dx.doi.org/10.32747/2005.7587214.bard.
Full textPochtoviuk, Svitlana I., Tetiana A. Vakaliuk, and Andrey V. Pikilnyak. Possibilities of application of augmented reality in different branches of education. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3756.
Full textSklenar, 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, February 2022. http://dx.doi.org/10.30970/vjo.2022.51.11393.
Full textDatsyshyn, Chrystyna. FUNCTIONAL PARAMETERS OF ANTHROPONYM AS ONE OF THE VARIETIES OF FACTUAL MATERIAL IN THE MEDIA TEXT. Ivan Franko National University of Lviv, March 2024. http://dx.doi.org/10.30970/vjo.2024.54-55.12169.
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