Добірка наукової літератури з теми "Face Analysi"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Face Analysi".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "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.
Повний текст джерелаMuqorobin, 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.
Повний текст джерелаWiskott, 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.
Повний текст джерелаMichele 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.
Повний текст джерелаKoleva, 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.
Повний текст джерелаNikolaievskyi, 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.
Повний текст джерелаPhillips, 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.
Повний текст джерелаScharp, Kevin. "Shrieking in the face of vengeance." Analysis 78, no. 3 (February 6, 2018): 454–63. http://dx.doi.org/10.1093/analys/anx163.
Повний текст джерелаMoore, 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.
Повний текст джерелаDel 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.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаOLIVETTI, 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.
Повний текст джерелаLee, 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.
Повний текст джерелаKafetzi, 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.
Повний текст джерелаIn 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.
Повний текст джерелаAs 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/.
Повний текст джерелаVita. 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.
Повний текст джерелаAl-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.
Повний текст джерелаAmin, Syed Hassan. "Analysis of 3D face reconstruction." Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/6163.
Повний текст джерелаWang, Wei. "Human Face and Behavior Analysis." Doctoral thesis, Università degli studi di Trento, 2018. https://hdl.handle.net/11572/367945.
Повний текст джерелаКниги з теми "Face Analysi"
Décrire la conversation en ligne: La face à face distanciel. Lyon: ENS, 2011.
Знайти повний текст джерелаMeneghini, Fabio. Clinical facial analysis: Elements, principles, and techniques. 2nd ed. Berlin: Springer, 2012.
Знайти повний текст джерелаDaoudi, 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.
Повний текст джерелаBartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1637-8.
Повний текст джерелаM, 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.
Знайти повний текст джерелаElaine, 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.
Знайти повний текст джерелаBartlett, Marian Stewart. Face Image Analysis by Unsupervised Learning. Boston, MA: Springer US, 2001.
Знайти повний текст джерелаBartlett, Marian Stewart. Face image analysis by unsupervised learning. Boston: Kluwer Academic Publishers, 2001.
Знайти повний текст джерелаM, 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.
Знайти повний текст джерелаM, 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.
Знайти повний текст джерелаЧастини книг з теми "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.
Повний текст джерелаGopalan, 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.
Повний текст джерелаGutta, 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.
Повний текст джерелаRavaut, 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.
Повний текст джерелаMeneghini, 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.
Повний текст джерелаZhao, 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.
Повний текст джерелаCopland, 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.
Повний текст джерелаPatras, 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.
Повний текст джерелаPatras, 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.
Повний текст джерелаBiederman, 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.
Повний текст джерелаТези доповідей конференцій з теми "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.
Повний текст джерелаYang, 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.
Повний текст джерелаKukharev, 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.
Повний текст джерела"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.
Повний текст джерелаGeorge, 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.
Повний текст джерелаDente, 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.
Повний текст джерелаIskra, 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.
Повний текст джерелаBrick, 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.
Повний текст джерелаColombo, 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.
Повний текст джерелаHemathilaka, 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.
Повний текст джерелаЗвіти організацій з теми "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.
Повний текст джерелаPhillips, 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.
Повний текст джерелаAuthor, Not Given. Strategic Energy Analysis (Fact Sheet). Office of Scientific and Technical Information (OSTI), February 2014. http://dx.doi.org/10.2172/1122288.
Повний текст джерелаPollard, 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.
Повний текст джерелаKampman, 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.
Повний текст джерелаSocolinsky, 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.
Повний текст джерелаMark 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.
Повний текст джерелаSun, 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.
Повний текст джерелаWilliams, 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.
Повний текст джерелаIVARSON, 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.
Повний текст джерела