Добірка наукової літератури з теми "«face id»"
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Статті в журналах з теми "«face id»"
Kim, Hojin I., and Scott P. Johnson. "Do young infants prefer an infant-directed face or a happy face?" International Journal of Behavioral Development 37, no. 2 (February 25, 2013): 125–30. http://dx.doi.org/10.1177/0165025413475972.
Повний текст джерелаPogoda, Maik. "The changing face of electronic ID." Biometric Technology Today 2011, no. 1 (January 2011): 7–9. http://dx.doi.org/10.1016/s0969-4765(11)70014-5.
Повний текст джерелаChinapas, Adulwit, Pattarawit Polpinit, Narong Intiruk, and Kanda Runapongsa Saikaew. "Personal Verification System Using ID Card and Face Photo." International Journal of Machine Learning and Computing 9, no. 4 (August 2019): 407–12. http://dx.doi.org/10.18178/ijmlc.2019.9.4.818.
Повний текст джерелаDroucker, Danielle, Suzanne Curtin, and Athena Vouloumanos. "Linking Infant-Directed Speech and Face Preferences to Language Outcomes in Infants at Risk for Autism Spectrum Disorder." Journal of Speech, Language, and Hearing Research 56, no. 2 (April 2013): 567–76. http://dx.doi.org/10.1044/1092-4388(2012/11-0266).
Повний текст джерелаCui, Dongshun, Guanghao Zhang, Kai Hu, Wei Han, and Guang-Bin Huang. "Face recognition using total loss function on face database with ID photos." Optics & Laser Technology 110 (February 2019): 227–33. http://dx.doi.org/10.1016/j.optlastec.2017.10.016.
Повний текст джерелаReynolds, Matt. "Face ID tech can see through your disguise." New Scientist 235, no. 3143 (September 2017): 7. http://dx.doi.org/10.1016/s0262-4079(17)31796-7.
Повний текст джерелаLi, Jinning, Yichen Zhou, Jie Ding, Cen Chen, and Xulei Yang. "ID Preserving Face Super-Resolution Generative Adversarial Networks." IEEE Access 8 (2020): 138373–81. http://dx.doi.org/10.1109/access.2020.3011699.
Повний текст джерелаFeng, Xinran, and A. Mike Burton. "Identity Documents Bias Face Matching." Perception 48, no. 12 (September 24, 2019): 1163–74. http://dx.doi.org/10.1177/0301006619877821.
Повний текст джерелаWhite, David, A. Mike Burton, Rob Jenkins, and Richard I. Kemp. "Redesigning photo-ID to improve unfamiliar face matching performance." Journal of Experimental Psychology: Applied 20, no. 2 (June 2014): 166–73. http://dx.doi.org/10.1037/xap0000009.
Повний текст джерелаNurlaila, Qomarotun. "PENGGANTIAN SISTEM ABSENSI KARYAWAN PT. ABC DARI ID CARD MENJADI SISTEM DETEKSI WAJAH." PROFISIENSI: Jurnal Program Studi Teknik Industri 9, no. 1 (July 29, 2021): 9–19. http://dx.doi.org/10.33373/profis.v9i1.3208.
Повний текст джерелаДисертації з теми "«face id»"
Horry, Ruth. "Placing faces : recollection and familiarity in the own-race bias for face recognition." Thesis, University of Sussex, 2010. http://sro.sussex.ac.uk/id/eprint/2344/.
Повний текст джерелаLang, Andreas. "Face Detection using Swarm Intelligence." Technische Universität Chemnitz, 2010. https://monarch.qucosa.de/id/qucosa%3A19439.
Повний текст джерелаБойко, Олексій Вікторович. "Система авторизації користувача за допомогою розпізнавання обличь". Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2021. https://ela.kpi.ua/handle/123456789/47134.
Повний текст джерелаThe explanatory note of the diploma project consists of five sections, contains 14 figures, 12 tables, 1 application, 11 sources. Object of research: user authorization system. The aim of the thesis project is to develop a system of user authorization through face recognition 2D images. The implementation of the system will be demonstrated in a web application. The task of the system is to automate the user authorization system through face recognition. In the section of information support the input and output data of the software application were defined, also the structure of the database used in the diploma project is given. The section of mathematical support describes the formulation and solution of the main problems of the work. The software section is devoted to the main tools of software product development, the basic technical requirements are formulated. The software architecture, the principle of operation of processes among themselves are considered. The technological section describes the user manual and testing method, which will verify the compliance of the developed application with all requirements.
Ghgam, Aziza Ibrahim. "An investigation into face to face feedback for second language writing in the Libyan higher education context." Thesis, University of Huddersfield, 2015. http://eprints.hud.ac.uk/id/eprint/30275/.
Повний текст джерелаLavin, Amy A. "Assessing Student Characteristics for Success in Online Versus Face-to-Face Environments." Diss., Temple University Libraries, 2019. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/598584.
Повний текст джерелаEd.D.
Online education is pervasive in higher education today. More students are taking courses online than ever before. Institutions are encouraged to adopt virtual classrooms as the market demands access. This study examined the characteristics of students who choose to enroll in online or face-to-face courses and their eventual academic outcomes in their selected course. The purpose was to determine whether online and face-to-face students possess the same skillsets or if there are characteristics that a student should possess when choosing to enroll in an online class or program. Additionally, this study examined students’ perception of online courses versus face-to-face courses to determine if there were any differences in students’ feedback based on the type of course in which they were enrolled. The course Management Information Systems 101 (MS107) served as the focus of this study; it is a required undergraduate business course in an urban university. Typically, undergraduate sophomores or juniors take this course and are declared business majors at the university. The units for analysis consisted of students enrolled in MS107 in the fall of 2017 and spring of 2018 semesters. The online courses were conducted via WebEx, synchronously with live interaction from the professor. The face-to-face classes were conducted in the traditional environment on the university’s main campus. Data were collected from the university’s student system, student feedback forms, and the university’s New Student Questionnaire (NSQ) and concatenated to present a full picture of each student’s course outcome, demographics, and responses to the NSQ. The purpose in analyzing this information was to determine if there are behavioral, demographic, or other characteristics that might lend to better or worse performance in an online classroom. Finally, student feedback was analyzed to determine whether students have different opinions of MS107 depending on course delivery method. Results of this study indicate that from a course delivery perspective, engagement between students and faculty is a critical asset that should be developed in the online classroom environment. In the analysis of the student self-reported characteristics, many of the characteristics for success for the entire sample hold true for the characteristics of successful students in the face-to-face sections. For the online sections, however, the key predictors of success are simply previous grade point average and expectation of high averages in college, eliminating variables like self-confidence and hard working. The results of this study support prior research that states students perform better in face-to-face classrooms than online; however, this research begins to showcase what opportunities might be available for improvement in the online classroom
Temple University--Theses
Rowlinson, Zachary James. "Dismantling the face in Thomas Pynchon's fiction." Thesis, University of Sussex, 2016. http://sro.sussex.ac.uk/id/eprint/60110/.
Повний текст джерелаLaurence, Sarah. "The effect of familiarity on face adaptation." Thesis, University of Sussex, 2013. http://sro.sussex.ac.uk/id/eprint/47140/.
Повний текст джерелаCastle, Gina. "LET'S GIVE THEM SOMETHING TO TALK ABOUT: EXPLORING RACISM AND RACIAL TENSIONS AS POTENTIAL FACE THREATS IN BLACK AND WHITE INTERRACIAL RELATIONSHIPS." Master's thesis, University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3360.
Повний текст джерелаM.A.
Nicholson School of Communication
Sciences
Communication MA
Harrison, Victoria Louise. "Face to face with the enemy : the reactions of young girls and young women to the Nazi occupation of France." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3808/.
Повний текст джерелаAnzalone, Patricia. "A COMPARISON OF COMPUTER AND TRADITIONAL FACE-TO-FACE CLASSROOM ORIENTATION FOR BEGINNING CRITICAL CARE NURSES." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2080.
Повний текст джерелаPh.D.
School of Nursing
Health and Public Affairs
Nursing PhD
Книги з теми "«face id»"
Fake ID. New York: Amistad/HarperCollins Publishers, 2014.
Знайти повний текст джерелаFake ID: A novel. New York: Sleuth Dutton, 2005.
Знайти повний текст джерелаFake ID by mail and modem. Port Townsend, Wash: Loompanics Unlimited, 2000.
Знайти повний текст джерелаAndrzej, Drygajlo, Esposito Anna, Ortega-Garcia Javier, Faúndez Zanuy Marcos, and SpringerLink (Online service), eds. Biometric ID Management and Multimodal Communication: Joint COST 2101 and 2102 International Conference, BioID_MultiComm 2009, Madrid, Spain, September 16-18, 2009. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.
Знайти повний текст джерелаMontana. Dept. of Environmental Quality. Air and Waste Management Bureau. Fact sheet: For reissuance of a hazardous waste operating permit (permit number MTHWP-88-03) : the Burlington Northern & Santa Fe Railway Company, Paradise Tie Treating Plant, Paradise, Montana, EPA ID No. MTD 000716787. Helena, Mont: Montana Dept. of Environmental Quality, Permitting and Compliance Division, Air & Waste Management Bureau, 2001.
Знайти повний текст джерела1969-, Russell Ryan, Mullen Timothy M, and Pinzon Scott, eds. Stealing the network: How to own a shadow : the chase for Knuth. Rockland, Mass: Syngress, 2007.
Знайти повний текст джерелаBlokdyk, Gerardus. Face ID a Complete Guide - 2020 Edition. Emereo Pty Limited, 2020.
Знайти повний текст джерелаClegg, Jennifer, and Jo Jones. Intellectual Disabilities. Edited by John Z. Sadler, K. W. M. Fulford, and Cornelius Werendly van Staden. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780198732365.013.18.
Повний текст джерелаTamaki, Mariko. Fake ID. Women's Press, 2005.
Знайти повний текст джерелаEdwards, Hazel. Fake ID. Lothian Books, 2002.
Знайти повний текст джерелаЧастини книг з теми "«face id»"
Gros, Jerneja Žganec, and Aleš Mihelič. "Audiovisual Alignment in a Face-to-Face Conversation Translation Framework." In Biometric ID Management and Multimodal Communication, 57–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04391-8_8.
Повний текст джерелаCui, Dongshun, Guanghao Zhang, Kai Hu, Wei Han, and Guang-Bin Huang. "Face Recognition Benchmark with ID Photos." In Studies in Computational Intelligence, 27–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69877-9_4.
Повний текст джерелаŠtruc, Vitomir, and Nikola Pavešić. "Illumination Invariant Face Recognition by Non-Local Smoothing." In Biometric ID Management and Multimodal Communication, 1–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04391-8_1.
Повний текст джерелаRiaz, Zahid, Christoph Mayer, Michael Beetz, and Bernd Radig. "Face Recognition Using Wireframe Model Across Facial Expressions." In Biometric ID Management and Multimodal Communication, 122–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04391-8_16.
Повний текст джерелаHadid, Abdenour, and Matti Pietikäinen. "Manifold Learning for Video-to-Video Face Recognition." In Biometric ID Management and Multimodal Communication, 9–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04391-8_2.
Повний текст джерелаBakir, Ahmed. "Using Face ID, Touch ID, and Keychain Services to Secure Your Apps." In Program the Internet of Things with Swift for iOS, 407–43. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3513-3_11.
Повний текст джерелаScheidat, Tobias, Michael Biermann, Jana Dittmann, Claus Vielhauer, and Karl Kümmel. "Multi-biometric Fusion for Driver Authentication on the Example of Speech and Face." In Biometric ID Management and Multimodal Communication, 220–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04391-8_29.
Повний текст джерелаEjarque, Pascual, Javier Hernado, David Hernando, and David Gómez. "Eigenfeatures and Supervectors in Feature and Score Fusion for SVM Face and Speaker Verification." In Biometric ID Management and Multimodal Communication, 81–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04391-8_11.
Повний текст джерелаPaliwal, Rahul, Shalini Yadav, and Neeta Nain. "FaceID: Verification of Face in Selfie and ID Document." In Communications in Computer and Information Science, 443–54. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4018-9_40.
Повний текст джерелаKim, Dae Sung, and Nam Chul Kim. "ID Face Detection Robust to Color Degradation and Facial Veiling." In Computational Science and Its Applications – ICCSA 2005, 1111–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424758_116.
Повний текст джерелаТези доповідей конференцій з теми "«face id»"
Kong, Yan, Fuzhang Wu, Feiyue Huang, and Yanjun Wu. "ID-Softmax: A Softmax-like Loss for ID Face Recognition." In 14th International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007370904120419.
Повний текст джерелаD, Praveenbalaji, Srinivas R, Roopa S, Suresh M, and Gayathri A. "ID Photo Verification by Face Recognition." In 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2020. http://dx.doi.org/10.1109/icaccs48705.2020.9074246.
Повний текст джерелаTao, Shao, A. L. Ananda, and Chan Mun Choon. "Greedy Face Routing with Face ID Support in Wireless Networks." In 2007 16th International Conference on Computer Communications and Networks. IEEE, 2007. http://dx.doi.org/10.1109/icccn.2007.4317887.
Повний текст джерелаCosta, Filipe, Marcos Vinícius L. Melo, Igor Gadelha, Guilherme Fôlego, Larissa Gambaro, and André Rodrigues. "Self-portrait to ID Document face matching: CNN-Based face verification in cross-domain scenario." In Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/wvc.2021.18885.
Повний текст джерелаAlshaikhli, Mays, Omar Elharrouss, Somaya Al-Maadeed, and Ahmed Bouridane. "Face-Fake-Net: The Deep Learning Method for Image Face Anti-Spoofing Detection : Paper ID 45." In 2021 9th European Workshop on Visual Information Processing (EUVIP). IEEE, 2021. http://dx.doi.org/10.1109/euvip50544.2021.9484023.
Повний текст джерелаA, Rashmi, S. Brindha, Srinithin S. B, and Gnanasudharsan A. "Smart Attendance System Using RFID and Face ID." In 2022 International Conference on Communication, Computing and Internet of Things (IC3IoT). IEEE, 2022. http://dx.doi.org/10.1109/ic3iot53935.2022.9768003.
Повний текст джерелаHolat, Recep, and Selman Kulac. "ID identification by using face detection and recognition systems." In 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830367.
Повний текст джерелаChinapas, Adulwit, Pattarawit Polpinit, and Kanda Saikaew. "Personal Verification System Using Thai ID Card and Face Photo for Cross-Age Face." In 2019 23rd International Computer Science and Engineering Conference (ICSEC). IEEE, 2019. http://dx.doi.org/10.1109/icsec47112.2019.8974845.
Повний текст джерелаHuang, Po-Hsiang, Fu-En Yang, and Yu-Chiang Frank Wang. "Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00711.
Повний текст джерелаKomkov, Stepan, and Aleksandr Petiushko. "AdvHat: Real-World Adversarial Attack on ArcFace Face ID System." In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. http://dx.doi.org/10.1109/icpr48806.2021.9412236.
Повний текст джерела