Literatura académica sobre el tema "Face Analysi"
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Artículos de revistas sobre el tema "Face Analysi"
Salmela, Viljami, Ilkka Muukkonen, Jussi Numminen y Kaisu Ölander. "Spatiotemporal dynamics of face processing network studied with combined multivariate EEG and fMRI analysi". Journal of Vision 17, n.º 10 (31 de agosto de 2017): 1263. http://dx.doi.org/10.1167/17.10.1263.
Texto completoMuqorobin, Muqorobin y 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, n.º 1 (27 de agosto de 2020): 47–51. http://dx.doi.org/10.29040/ijcis.v1i2.15.
Texto completoWiskott, Laurenz. "Phantom faces for face analysis". Pattern Recognition 30, n.º 6 (junio de 1997): 837–46. http://dx.doi.org/10.1016/s0031-3203(96)00132-x.
Texto completoMichele de Oliveira, Sandi y Nieves Hernández-Flores. "Desafíos interpretativos en el análisis de la imagen sociocultural". Textos en Proceso 1, n.º 1 (1 de diciembre de 2015): 1–15. http://dx.doi.org/10.17710/tep.2015.1.1.1oli.
Texto completoKoleva, Emiliya y Neli Baeva. "A Comparative Analysis of Assessment Results From Face-To-Face and Online Exams". Mathematics and Informatics LXV, n.º 4 (30 de agosto de 2022): 335–43. http://dx.doi.org/10.53656/math2022-4-1-aco.
Texto completoNikolaievskyi, O. Yu, O. V. Skliarenko y A. I. Sidorchuk. "ANALYSIS AND COMPARISON OF FACE DETECTION APIS". Telecommunication and information technologies, n.º 4 (2019): 39–45. http://dx.doi.org/10.31673/2412-4338.2019.043945.
Texto completoPhillips, Ian. "Object files and unconscious perception: a reply to Quilty-Dunn". Analysis 80, n.º 2 (9 de noviembre de 2019): 293–301. http://dx.doi.org/10.1093/analys/anz046.
Texto completoScharp, Kevin. "Shrieking in the face of vengeance". Analysis 78, n.º 3 (6 de febrero de 2018): 454–63. http://dx.doi.org/10.1093/analys/anx163.
Texto completoMoore, A. W. "Not to be Taken at Face Value". Analysis 69, n.º 1 (1 de enero de 2009): 116–25. http://dx.doi.org/10.1093/analys/ann040.
Texto completoDel Líbano, Mario, Manuel G. Calvo, Andrés Fernández-Martín y Guillermo Recio. "Discrimination between smiling faces: Human observers vs. automated face analysis". Acta Psychologica 187 (junio de 2018): 19–29. http://dx.doi.org/10.1016/j.actpsy.2018.04.019.
Texto completoTesis sobre el tema "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.
Texto completoOLIVETTI, 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.
Texto completoLee, 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.
Texto completoKafetzi, 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.
Texto completoIn 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.
Texto completoAs 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/.
Texto completoVita. 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.
Texto completoAl-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.
Texto completoAmin, Syed Hassan. "Analysis of 3D face reconstruction". Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/6163.
Texto completoWang, Wei. "Human Face and Behavior Analysis". Doctoral thesis, Università degli studi di Trento, 2018. https://hdl.handle.net/11572/367945.
Texto completoLibros sobre el tema "Face Analysi"
Décrire la conversation en ligne: La face à face distanciel. Lyon: ENS, 2011.
Buscar texto completoMeneghini, Fabio. Clinical facial analysis: Elements, principles, and techniques. 2a ed. Berlin: Springer, 2012.
Buscar texto completoDaoudi, Mohamed, Anuj Srivastava y 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.
Texto completoBartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1637-8.
Texto completoM, Newton Elaine y 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.
Buscar texto completoElaine, Newton y 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.
Buscar texto completoBartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001.
Buscar texto completoBartlett, Marian Stewart. Face image analysis by unsupervised learning. Boston: Kluwer Academic Publishers, 2001.
Buscar texto completoM, Newton Elaine y 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.
Buscar texto completoM, Newton Elaine y 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.
Buscar texto completoCapítulos de libros sobre el tema "Face Analysi"
Wiskott, Laurenz. "Phantom faces for face analysis". En 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.
Texto completoGopalan, Raghuraman, William R. Schwartz, Rama Chellappa y Ankur Srivastava. "Face Detection". En Visual Analysis of Humans, 71–90. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-997-0_5.
Texto completoGutta, Srinivas y Harry Wechsler. "Partial Faces for Face Recognition: Left vs Right Half". En 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.
Texto completoRavaut, Frédéric y Georges Stamon. "Face Image Processing Supporting Epileptic Seizure Analysis". En Face Recognition, 610–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72201-1_40.
Texto completoMeneghini, Fabio y Paolo Biondi. "The Aging Face". En Clinical Facial Analysis, 157–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27228-8_10.
Texto completoZhao, Wenyi, Arvindh Krishnaswamy, Rama Chellappa, Daniel L. Swets y John Weng. "Discriminant Analysis of Principal Components for Face Recognition". En Face Recognition, 73–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72201-1_4.
Texto completoCopland, Fiona y Helen Donaghue. "Face". En Analysing Discourses in Teacher Observation Feedback Conferences, 77–98. New York, NY : Routledge, 2021. |: Routledge, 2021. http://dx.doi.org/10.4324/9781351184694-5.
Texto completoPatras, Ioannis. "Face Pose Analysis". En Encyclopedia of Biometrics, 324–29. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-73003-5_191.
Texto completoPatras, Ioannis. "Face Pose Analysis". En Encyclopedia of Biometrics, 462–67. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7488-4_191.
Texto completoBiederman, Irving y Peter Kalocsai. "Neural and Psychophysical Analysis of Object and Face Recognition". En Face Recognition, 3–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72201-1_1.
Texto completoActas de conferencias sobre el tema "Face Analysi"
Saxen, Frerk, Sebastian Handrich, Philipp Werner, Ehsan Othman y Ayoub Al-Hamadi. "Detecting Arbitrarily Rotated Faces for Face Analysis". En 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. http://dx.doi.org/10.1109/icip.2019.8803631.
Texto completoYang, Libin. "Face liveness detection by focusing on frontal faces and image backgrounds". En 2014 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2014. http://dx.doi.org/10.1109/icwapr.2014.6961297.
Texto completoKukharev, G., K. Maulenov y N. Shchegoleva. "CAN I PROTECT MY FACE IMAGE FROM RECOGNITION?" En 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.
Texto completo"Fake Face Image Detection Using Deep Learning-Based Local and Global Matching". En 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.
Texto completoGeorge, Giji, Rainu Boben, B. Radhakrishnan y L. Padma Suresh. "Face recognition on surgically altered faces using principal component analysis". En 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT). IEEE, 2017. http://dx.doi.org/10.1109/iccpct.2017.8074324.
Texto completoDente, Pasquale, Dennis Küster y Eva Krumhuber. "Boxing the face". En FAA '15: Facial Analysis and Animation. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2813852.2813857.
Texto completoIskra, Andrej y Helena Gabrijelčič Tomc. "Analysis of observing and recognition profile facial images using eye tracking system". En 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.
Texto completoBrick, Timothy R., Michael D. Hunter y Jeffrey F. Cohn. "Get the FACS fast: Automated FACS face analysis benefits from the addition of velocity". En 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.
Texto completoColombo, Alessandro, Claudio Cusano y Raimondo Schettini. "Face^3 a 2D+3D Robust Face Recognition System". En 14th International Conference on Image Analysis and Processing (ICIAP 2007). IEEE, 2007. http://dx.doi.org/10.1109/iciap.2007.4362810.
Texto completoHemathilaka, Susith y Achala Aponso. "An Analysis of Face Recognition under Face Mask Occlusions". En 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.
Texto completoInformes sobre el tema "Face Analysi"
Bays, J. Timothy, David L. King y 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), octubre de 2012. http://dx.doi.org/10.2172/1118119.
Texto completoPhillips, P. Jonathon y 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.
Texto completoAuthor, Not Given. Strategic Energy Analysis (Fact Sheet). Office of Scientific and Technical Information (OSTI), febrero de 2014. http://dx.doi.org/10.2172/1122288.
Texto completoPollard, Kimberly A., Lamar Garrett y Phuong Tran. Bone Conduction Systems for Full-Face Respirators: Speech Intelligibility Analysis. Fort Belvoir, VA: Defense Technical Information Center, abril de 2014. http://dx.doi.org/10.21236/ada600090.
Texto completoKampman, Christina M., Charles A. Mangio, Thomas L. Parry y Bonnie J. Wilkinson. Framework for Analytic Cognition (FAC): A Guide for Doing All-Source Intelligence Analysis. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2011. http://dx.doi.org/10.21236/ada568691.
Texto completoSocolinsky, Diego A. y Andrea Selinger. A Comparative Analysis of Face Recognition Performance With Visible and Thermal Infrared Imagery. Fort Belvoir, VA: Defense Technical Information Center, enero de 2002. http://dx.doi.org/10.21236/ada453159.
Texto completoMark E. Kubiske. Final Harvest of Above-Ground Biomass and Allometric Analysis of the Aspen FACE Experiment. Office of Scientific and Technical Information (OSTI), abril de 2013. http://dx.doi.org/10.2172/1073624.
Texto completoSun, Yipeng. Analysis on linac quadrupole misalignment in FACET commissioning 2012. Office of Scientific and Technical Information (OSTI), julio de 2012. http://dx.doi.org/10.2172/1045190.
Texto completoWilliams, 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), febrero de 2014. http://dx.doi.org/10.2172/1124881.
Texto completoIVARSON, KRISTINE y CRAIG AROLA. SOFTWARE FOR SUPPORT OF GROUNDWATER CONTAMINANT FATE AND TRANSPORT ANALYSIS 13345. Office of Scientific and Technical Information (OSTI), enero de 2013. http://dx.doi.org/10.2172/1658904.
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