Academic literature on the topic 'Face Analysi'
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Journal articles on the topic "Face Analysi"
Salmela, Viljami, Ilkka Muukkonen, Jussi Numminen, and Kaisu Ölander. "Spatiotemporal dynamics of face processing network studied with combined multivariate EEG and fMRI analysi." Journal of Vision 17, no. 10 (August 31, 2017): 1263. http://dx.doi.org/10.1167/17.10.1263.
Full textMuqorobin, Muqorobin, and Nendy Akbar Rozaq Rais. "Analysis of the Role of Information Systems Technology in Lecture Learning during the Corona Virus Pandemic." International Journal of Computer and Information System (IJCIS) 1, no. 1 (August 27, 2020): 47–51. http://dx.doi.org/10.29040/ijcis.v1i2.15.
Full textWiskott, Laurenz. "Phantom faces for face analysis." Pattern Recognition 30, no. 6 (June 1997): 837–46. http://dx.doi.org/10.1016/s0031-3203(96)00132-x.
Full textMichele de Oliveira, Sandi, and Nieves Hernández-Flores. "Desafíos interpretativos en el análisis de la imagen sociocultural." Textos en Proceso 1, no. 1 (December 1, 2015): 1–15. http://dx.doi.org/10.17710/tep.2015.1.1.1oli.
Full textKoleva, Emiliya, and Neli Baeva. "A Comparative Analysis of Assessment Results From Face-To-Face and Online Exams." Mathematics and Informatics LXV, no. 4 (August 30, 2022): 335–43. http://dx.doi.org/10.53656/math2022-4-1-aco.
Full textNikolaievskyi, O. Yu, O. V. Skliarenko, and A. I. Sidorchuk. "ANALYSIS AND COMPARISON OF FACE DETECTION APIS." Telecommunication and information technologies, no. 4 (2019): 39–45. http://dx.doi.org/10.31673/2412-4338.2019.043945.
Full textPhillips, Ian. "Object files and unconscious perception: a reply to Quilty-Dunn." Analysis 80, no. 2 (November 9, 2019): 293–301. http://dx.doi.org/10.1093/analys/anz046.
Full textScharp, Kevin. "Shrieking in the face of vengeance." Analysis 78, no. 3 (February 6, 2018): 454–63. http://dx.doi.org/10.1093/analys/anx163.
Full textMoore, A. W. "Not to be Taken at Face Value." Analysis 69, no. 1 (January 1, 2009): 116–25. http://dx.doi.org/10.1093/analys/ann040.
Full textDel Líbano, Mario, Manuel G. Calvo, Andrés Fernández-Martín, and Guillermo Recio. "Discrimination between smiling faces: Human observers vs. automated face analysis." Acta Psychologica 187 (June 2018): 19–29. http://dx.doi.org/10.1016/j.actpsy.2018.04.019.
Full textDissertations / Theses on the topic "Face Analysi"
DAGNES, NICOLE. "3D Human Face Analysis for recognition applications and motion capture." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2790163.
Full textOLIVETTI, ELENA CARLOTTA. "When 3D geometrical face analysis meets maxillofacial surgery-a methodology for patients affected by dental malocclusion." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2963954.
Full textLee, Jinho. "Synthesis and analysis of human faces using multi-view, multi-illumination image ensembles." Columbus, Ohio : Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1133366279.
Full textKafetzi, Evi. "L'Ethos dans l'Argumentation : le cas du face à face Sarkozy / Royal 2007." Thesis, Université de Lorraine, 2013. http://www.theses.fr/2013LORR0053/document.
Full textIn search of effectiveness and influence, every candidate who stands forpresidential elections attempts to create and give to the audience a self-imageconsistent with the elector's expectations concerning a future head of state'sprofile. This attractive self-image created through discourse, called ethos inrhetoric, is an integral part of argumentation, as well as its other components,logos and pathos. Political discourse, as a vector of important stakes, constitutesthe ground of identity construction par excellence.This work explores communication strategies in argumentation activity,and particularly in televised political debate. The data is constituted by thetelevised face to face of the 2nd of May 2007 between Nicolas Sarkozy andSégolène Royal, at the eve of the second ballot of the French presidentialelection.What I propose in this work is to draw up the rules and mechanisms thatgovern the making of one's televised self-image by politicians, spin doctors, inorder to achieve their ends. I propose to analyse, one by one, the linguistic toolsthat the two opponents use in order to give the audience a self-image consistentwith an ideal presidential model, during the televised duel that we're studyinghere. In this way, having a better knowledge of what goes on behind the scenesof audiovisual rhetoric, the elector-televiewer becomes master of his decisionand has the control of his choice and learns to beware of feelings andimpressions inspired by the professionals of persuasion
Bordei, Cristina. "Face analysis using polynomials." Thesis, Poitiers, 2016. http://www.theses.fr/2016POIT2259/document.
Full textAs one of the most active and visible research topic in computer vision, pattern recognition and biometries, facial analysis has been extensively studied in the past two decades. The work in this thesis presents novel techniques to use polynomial basis texture representations for facial analysis. The first part of this thesis, is dedicated to the integration of polynomial bases in the Active Appearance Models - a set of statistical tools that proved to be very efficient in modeling faces. First we propose a way to use the coefficients obtained after polynomial projections in the appearance modeling. Then, in order to reduce model complexity we proposed to select and use as a texture representation the strongest polynomial coefficients. Finally we show how in addition to the texture representation polynomial coefficients can be used in a gradient descent algorithm since polynomial decomposition is equivalent to a filter bank.The second part of the thesis concems the use of the polynomial bases for interesting points and areas detection and as a descriptor for facial expression recognition. We start by presenting an algorithm used for accurate image keypoints localization inspired by techniques of singularities detection in a vector field. Our approach consists in two major steps: the calculation of an image vector field of normals and the keypoint selection within the field both presented in a multi-scale multi resolution scheme. Finally we show how polynomial bases can be used to extract informations about facial expressions. Polynomial coefficients are used as descriptors in an facial expression classification algorithm
Patrick, William Charles. "Investigation, Analysis, and Modeling of Longwall Face-to-Face Transfers." Diss., This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-06092008-112841/.
Full textVita. Abstract. Attached pocket for diagrams. Includes bibliographical references (leaves 155-162). Also available via the Internet.
Al-Dahoud, Ahmad. "The computational face for facial emotion analysis: Computer based emotion analysis from the face." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17384.
Full textAl-Zaytoonah University
Buchala, Samarasena. "Computational analysis of face images." Thesis, University of Hertfordshire, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431938.
Full textAmin, Syed Hassan. "Analysis of 3D face reconstruction." Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/6163.
Full textWang, Wei. "Human Face and Behavior Analysis." Doctoral thesis, Università degli studi di Trento, 2018. https://hdl.handle.net/11572/367945.
Full textBooks on the topic "Face Analysi"
Décrire la conversation en ligne: La face à face distanciel. Lyon: ENS, 2011.
Find full textMeneghini, Fabio. Clinical facial analysis: Elements, principles, and techniques. 2nd ed. Berlin: Springer, 2012.
Find full textDaoudi, Mohamed, Anuj Srivastava, and Remco Veltkamp, eds. 3D Face Modeling, Analysis and Recognition. Solaris South Tower, Singapore: John Wiley & Sons SingaporePte Ltd, 2013. http://dx.doi.org/10.1002/9781118592656.
Full textBartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1637-8.
Full textM, Newton Elaine, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division., eds. Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.
Find full textElaine, Newton, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division, eds. Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.
Find full textBartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001.
Find full textBartlett, Marian Stewart. Face image analysis by unsupervised learning. Boston: Kluwer Academic Publishers, 2001.
Find full textM, Newton Elaine, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division, eds. Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.
Find full textM, Newton Elaine, and Information Technology Laboratory (National Institute of Standards and Technology). Mathematical and Computational Sciences Division., eds. Meta-analysis of face recognition algorithms. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, Mathematics and Computational Sciences Division, National Institute of Standards and Technology, 2001.
Find full textBook chapters on the topic "Face Analysi"
Wiskott, Laurenz. "Phantom faces for face analysis." In Computer Analysis of Images and Patterns, 480–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63460-6_153.
Full textGopalan, Raghuraman, William R. Schwartz, Rama Chellappa, and Ankur Srivastava. "Face Detection." In Visual Analysis of Humans, 71–90. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-997-0_5.
Full textGutta, Srinivas, and Harry Wechsler. "Partial Faces for Face Recognition: Left vs Right Half." In Computer Analysis of Images and Patterns, 630–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45179-2_77.
Full textRavaut, Frédéric, and Georges Stamon. "Face Image Processing Supporting Epileptic Seizure Analysis." In Face Recognition, 610–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72201-1_40.
Full textMeneghini, Fabio, and Paolo Biondi. "The Aging Face." In Clinical Facial Analysis, 157–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27228-8_10.
Full textZhao, Wenyi, Arvindh Krishnaswamy, Rama Chellappa, Daniel L. Swets, and John Weng. "Discriminant Analysis of Principal Components for Face Recognition." In Face Recognition, 73–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72201-1_4.
Full textCopland, Fiona, and Helen Donaghue. "Face." In Analysing Discourses in Teacher Observation Feedback Conferences, 77–98. New York, NY : Routledge, 2021. |: Routledge, 2021. http://dx.doi.org/10.4324/9781351184694-5.
Full textPatras, Ioannis. "Face Pose Analysis." In Encyclopedia of Biometrics, 324–29. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-73003-5_191.
Full textPatras, Ioannis. "Face Pose Analysis." In Encyclopedia of Biometrics, 462–67. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7488-4_191.
Full textBiederman, Irving, and Peter Kalocsai. "Neural and Psychophysical Analysis of Object and Face Recognition." In Face Recognition, 3–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72201-1_1.
Full textConference papers on the topic "Face Analysi"
Saxen, Frerk, Sebastian Handrich, Philipp Werner, Ehsan Othman, and Ayoub Al-Hamadi. "Detecting Arbitrarily Rotated Faces for Face Analysis." In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. http://dx.doi.org/10.1109/icip.2019.8803631.
Full textYang, Libin. "Face liveness detection by focusing on frontal faces and image backgrounds." In 2014 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2014. http://dx.doi.org/10.1109/icwapr.2014.6961297.
Full textKukharev, G., K. Maulenov, and N. Shchegoleva. "CAN I PROTECT MY FACE IMAGE FROM RECOGNITION?" In 9th International Conference "Distributed Computing and Grid Technologies in Science and Education". Crossref, 2021. http://dx.doi.org/10.54546/mlit.2021.30.41.001.
Full text"Fake Face Image Detection Using Deep Learning-Based Local and Global Matching." In The 2nd Siberian Scientific Workshop on Data Analysis Technologies with Applications. CEUR-WS.org, 2021. http://dx.doi.org/10.47813/sibdata-2-2021-20.
Full textGeorge, Giji, Rainu Boben, B. Radhakrishnan, and L. Padma Suresh. "Face recognition on surgically altered faces using principal component analysis." In 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT). IEEE, 2017. http://dx.doi.org/10.1109/iccpct.2017.8074324.
Full textDente, Pasquale, Dennis Küster, and Eva Krumhuber. "Boxing the face." In FAA '15: Facial Analysis and Animation. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2813852.2813857.
Full textIskra, Andrej, and Helena Gabrijelčič Tomc. "Analysis of observing and recognition profile facial images using eye tracking system." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p54.
Full textBrick, Timothy R., Michael D. Hunter, and Jeffrey F. Cohn. "Get the FACS fast: Automated FACS face analysis benefits from the addition of velocity." In 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops (ACII 2009). IEEE, 2009. http://dx.doi.org/10.1109/acii.2009.5349600.
Full textColombo, Alessandro, Claudio Cusano, and Raimondo Schettini. "Face^3 a 2D+3D Robust Face Recognition System." In 14th International Conference on Image Analysis and Processing (ICIAP 2007). IEEE, 2007. http://dx.doi.org/10.1109/iciap.2007.4362810.
Full textHemathilaka, Susith, and Achala Aponso. "An Analysis of Face Recognition under Face Mask Occlusions." In 2nd International Conference on Machine Learning Techniques and Data Science (MLDS 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111804.
Full textReports on the topic "Face Analysi"
Bays, J. Timothy, David L. King, and Molly J. O'Hagan. Carbon-Type Analysis and Comparison of Original and Reblended FACE Diesel Fuels (FACE 2, FACE 4, and FACE 7). Office of Scientific and Technical Information (OSTI), October 2012. http://dx.doi.org/10.2172/1118119.
Full textPhillips, P. Jonathon, and Elaine M. Newton. Meta-analysis of face recognition algorithms. Gaithersburg, MD: National Institute of Standards and Technology, 2001. http://dx.doi.org/10.6028/nist.ir.6719.
Full textAuthor, Not Given. Strategic Energy Analysis (Fact Sheet). Office of Scientific and Technical Information (OSTI), February 2014. http://dx.doi.org/10.2172/1122288.
Full textPollard, Kimberly A., Lamar Garrett, and Phuong Tran. Bone Conduction Systems for Full-Face Respirators: Speech Intelligibility Analysis. Fort Belvoir, VA: Defense Technical Information Center, April 2014. http://dx.doi.org/10.21236/ada600090.
Full textKampman, Christina M., Charles A. Mangio, Thomas L. Parry, and Bonnie J. Wilkinson. Framework for Analytic Cognition (FAC): A Guide for Doing All-Source Intelligence Analysis. Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada568691.
Full textSocolinsky, Diego A., and Andrea Selinger. A Comparative Analysis of Face Recognition Performance With Visible and Thermal Infrared Imagery. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada453159.
Full textMark E. Kubiske. Final Harvest of Above-Ground Biomass and Allometric Analysis of the Aspen FACE Experiment. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1073624.
Full textSun, Yipeng. Analysis on linac quadrupole misalignment in FACET commissioning 2012. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1045190.
Full textWilliams, Dean N. 3rd Annual Earth System Grid Federation and 3rd Annual Earth System Grid Federation and Ultrascale Visualization Climate Data Analysis Tools Face-to-Face Meeting Report December 2013. Office of Scientific and Technical Information (OSTI), February 2014. http://dx.doi.org/10.2172/1124881.
Full textIVARSON, KRISTINE, and CRAIG AROLA. SOFTWARE FOR SUPPORT OF GROUNDWATER CONTAMINANT FATE AND TRANSPORT ANALYSIS 13345. Office of Scientific and Technical Information (OSTI), January 2013. http://dx.doi.org/10.2172/1658904.
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