Gotowa bibliografia na temat „Facial recognition”
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Artykuły w czasopismach na temat "Facial recognition"
Goud, N. Swapna, K. Revanth Reddy i G. Alekhya G. S. Sucheta. "Facial Emoji Recognition". International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (30.04.2019): 1330–33. http://dx.doi.org/10.31142/ijtsrd23166.
Pełny tekst źródłaC Karthik Srivatsa, Ashritha. "Facial Recognition Voting System (FRVS)". International Journal of Science and Research (IJSR) 12, nr 2 (5.02.2023): 1144–46. http://dx.doi.org/10.21275/sr23217142716.
Pełny tekst źródłaDeshwal, Amit, Mohnish Chandiramani i Umesh Jagtap Prof Amruta Surana. "Smart Door Access using Facial Recognition". International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (28.02.2019): 442–43. http://dx.doi.org/10.31142/ijtsrd21363.
Pełny tekst źródłaa, Vinayak, i Rachana R. Babu. "Facial Emotion Recognition". YMER Digital 21, nr 05 (23.05.2022): 1010–15. http://dx.doi.org/10.37896/ymer21.05/b5.
Pełny tekst źródłaRamya, Mrs T., Mr Y. Anurag, Ms K. S. S. Pranathi, Mr M. Samba Raju i Mr P. Rohith. "FACIAL EMOTION RECOGNITION". YMER Digital 21, nr 04 (29.04.2022): 543–57. http://dx.doi.org/10.37896/ymer21.04/55.
Pełny tekst źródłaHughes, Shola, Aimee Hudson, Sandra Jablonska, Matthew Wright i Sophie Lawson. "Facial Recognition Technology". Student Journal of Professional Practice and Academic Research 3, nr 1 (4.03.2021): 32. http://dx.doi.org/10.19164/sjppar.v3i1.1104.
Pełny tekst źródłaZuo, Kevin J., Tomas J. Saun i Christopher R. Forrest. "Facial Recognition Technology". Plastic and Reconstructive Surgery 143, nr 6 (czerwiec 2019): 1298e—1306e. http://dx.doi.org/10.1097/prs.0000000000005673.
Pełny tekst źródłaBenton, Arthur. "Facial Recognition 1990". Cortex 26, nr 4 (grudzień 1990): 491–99. http://dx.doi.org/10.1016/s0010-9452(13)80299-7.
Pełny tekst źródłaMaurya, Vikas, Ms Anjali Awasthi, Rajat Singh, Deepak Maurya i Manorma Dwivedi. "Facial Emotion Recognition". International Journal for Research in Applied Science and Engineering Technology 11, nr 4 (30.04.2023): 4361–66. http://dx.doi.org/10.22214/ijraset.2023.51265.
Pełny tekst źródłaTiwari, Er Shesh Mani, i Er Mohd Shah Alam. "Facial Emotion Recognition". International Journal for Research in Applied Science and Engineering Technology 11, nr 2 (28.02.2023): 490–94. http://dx.doi.org/10.22214/ijraset.2023.49067.
Pełny tekst źródłaRozprawy doktorskie na temat "Facial recognition"
Boraston, Zillah Louise. "Emotion recognition from facial and non-facial cues". Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1445207/.
Pełny tekst źródłaSutherland, Kenneth Gavin Neil. "Automatic facial recognition based on facial feature analysis". Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/13048.
Pełny tekst źródłaMunasinghe, 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.
Pełny tekst źródłaBordon, Natalie Sarah. "Facial affect recognition in psychosis". Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/22865.
Pełny tekst źródłaHuang, Weilin. "Robust facial representation for recognition". Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/robust-facial-representation-for-recognition(ee2f295c-7b1a-4966-bd12-17edba43b2b4).html.
Pełny tekst źródłaYu, Kaimin. "Towards Realistic Facial Expression Recognition". Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9459.
Pełny tekst źródłaSheikh, Munaf. "Robust recognition of facial expressions on noise degraded facial images". Thesis, University of the Western Cape, 2011. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7054_1306828003.
Pełny tekst źródłaWe investigate the use of noise degraded facial images in the application of facial expression recognition. In particular, we trained Gabor+SVMclassifiers to recognize facial expressions images with various types of noise. We applied Gaussian noise, Poisson noise, varying levels of salt and pepper noise, and speckle noise to noiseless facial images. Classifiers were trained with images without noise and then tested on the images with noise. Next, the classifiers were trained using images with noise, and then on tested both images that had noise, and images that were noiseless. Finally, classifiers were tested on images while increasing the levels of salt and pepper in the test set. Our results reflected distinct degradation of recognition accuracy. We also discovered that certain types of noise, particularly Gaussian and Poisson noise, boost recognition rates to levels greater than would be achieved by normal, noiseless images. We attribute this effect to the Gaussian envelope component of Gabor filters being sympathetic to Gaussian-like noise, which is similar in variance to that of the Gabor filters. Finally, using linear regression, we mapped a mathematical model to this degradation and used it to suggest how recognition rates would degrade further should more noise be added to the images.
de, la Cruz Nathan. "Autonomous facial expression recognition using the facial action coding system". University of the Western Cape, 2016. http://hdl.handle.net/11394/5121.
Pełny tekst źródłaThe South African Sign Language research group at the University of the Western Cape is in the process of creating a fully-edged machine translation system to automatically translate between South African Sign Language and English. A major component of the system is the ability to accurately recognise facial expressions, which are used to convey emphasis, tone and mood within South African Sign Language sentences. Traditionally, facial expression recognition research has taken one of two paths: either recognising whole facial expressions of which there are six i.e. anger, disgust, fear, happiness, sadness, surprise, as well as the neutral expression; or recognising the fundamental components of facial expressions as defined by the Facial Action Coding System in the form of Action Units. Action Units are directly related to the motion of specific muscles in the face, combinations of which are used to form any facial expression. This research investigates enhanced recognition of whole facial expressions by means of a hybrid approach that combines traditional whole facial expression recognition with Action Unit recognition to achieve an enhanced classification approach.
Fraser, Matthew Paul. "Repetition priming of facial expression recognition". Thesis, University of York, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431255.
Pełny tekst źródłaHsu, Shen-Mou. "Adaptation effects in facial expression recognition". Thesis, University of York, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403968.
Pełny tekst źródłaKsiążki na temat "Facial recognition"
Young, A. W. Facial Expression Recognition. London ; New York : Psychology Press, 2016. | Series: World: Psychology Press, 2016. http://dx.doi.org/10.4324/9781315715933.
Pełny tekst źródłaWatkins, Elizabeth Anne. The Polysemia of Recognition: Facial Recognition in Algorithmic Management. [New York, N.Y.?]: [publisher not identified], 2021.
Znajdź pełny tekst źródłaJr, Woodward John D., Virginia State Crime Commission i Rand Corporation, red. Biometrics: A look at facial recognition. Santa Monica, Calif: RAND, 2003.
Znajdź pełny tekst źródłaBai, Xiang, Yi Fang, Yangqing Jia, Meina Kan, Shiguang Shan, Chunhua Shen, Jingdong Wang i in., red. Video Analytics. Face and Facial Expression Recognition. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12177-8.
Pełny tekst źródłaEvison, Martin Paul. Computer-aided forensic facial comparison. Boca Raton, FL: Taylor & Francis Group, 2010.
Znajdź pełny tekst źródłaW, Vorder Bruegge Richard, red. Computer-aided forensic facial comparison. Boca Raton, FL: Taylor & Francis Group, 2010.
Znajdź pełny tekst źródłaJi, Qiang, Thomas B. Moeslund, Gang Hua i Kamal Nasrollahi, red. Face and Facial Expression Recognition from Real World Videos. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13737-7.
Pełny tekst źródłaNasrollahi, Kamal, Cosimo Distante, Gang Hua, Andrea Cavallaro, Thomas B. Moeslund, Sebastiano Battiato i Qiang Ji, red. Video Analytics. Face and Facial Expression Recognition and Audience Measurement. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56687-0.
Pełny tekst źródłaDiminich, Erica. Is this the face of sadness? Facial expression recognition and context. [New York, N.Y.?]: [publisher not identified], 2015.
Znajdź pełny tekst źródłaMichela, Balconi, red. Neuropsychology and cognition of emotional face comprehension, 2006. Trivandrum, India: Research Signpost, 2006.
Znajdź pełny tekst źródłaCzęści książek na temat "Facial recognition"
Pennick, Mark. "Facial Recognition". W Encyclopedia of Child Behavior and Development, 634. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_1087.
Pełny tekst źródłaSmith, Marcus, Monique Mann i Gregor Urbas. "Facial recognition". W Biometrics, Crime and Security, 54–70. New York : Routledge, 2018. | Series: Law, science and society: Routledge, 2018. http://dx.doi.org/10.4324/9781315182056-4.
Pełny tekst źródłaDas, Ravindra. "Facial Recognition". W The Science of Biometrics, 179–268. New York, NY : Routledge, 2018. |: Routledge, 2018. http://dx.doi.org/10.4324/9780429487583-4.
Pełny tekst źródłaLawless, Christopher. "Facial recognition". W Forensic Science, 111–24. Wyd. 2. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003126379-8.
Pełny tekst źródłaLin, Yuchen, Zhehen Zheng i Yang Zhou. "Facial Recognition". W Information Technology Security and Risk Management, 193–211. New York: CRC Press, 2024. http://dx.doi.org/10.1201/9781003264415-30.
Pełny tekst źródłaPerkowitz, Sidney. "Facing up to Facial Recognition". W Science Sketches, 257–59. New York: Jenny Stanford Publishing, 2022. http://dx.doi.org/10.1201/9781003274964-51.
Pełny tekst źródłaJiang, Xiaoyi, i Yung-Fu Chen. "Facial Image Processing". W Applied Pattern Recognition, 29–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-76831-9_2.
Pełny tekst źródłaClark, Uraina. "Facial Recognition Test". W Encyclopedia of Clinical Neuropsychology, 1010–12. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1364.
Pełny tekst źródłaClark, Uraina. "Facial Recognition Test". W Encyclopedia of Clinical Neuropsychology, 1–3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1364-2.
Pełny tekst źródłaSebe, Nicu, i Michael S. Lew. "Facial Expression Recognition". W Computational Imaging and Vision, 163–97. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0295-9_7.
Pełny tekst źródłaStreszczenia konferencji na temat "Facial recognition"
Park, Sungsoo, i Daijin Kim. "Spontaneous facial expression classification with facial motion vectors". W Gesture Recognition (FG). IEEE, 2008. http://dx.doi.org/10.1109/afgr.2008.4813308.
Pełny tekst źródłaHuang, Yanhui, Xing Zhang, Yangyu Fan, Lijun Yin, Lee Seversky, Tao Lei i Weijun Dong. "Reshaping 3D facial scans for facial appearance modeling and 3D facial expression analysis". W Gesture Recognition (FG 2011). IEEE, 2011. http://dx.doi.org/10.1109/fg.2011.5771436.
Pełny tekst źródłaXiaoxi, Ma, Lin Weisi, Huang Dongyan, Dong Minghui i Haizhou Li. "Facial emotion recognition". W 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP). IEEE, 2017. http://dx.doi.org/10.1109/siprocess.2017.8124509.
Pełny tekst źródłaReveriano, Francisco, Unal Sakoglu i Jiang Lu. "Facial Expression Recognition". W PEARC '19: Practice and Experience in Advanced Research Computing. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3332186.3333039.
Pełny tekst źródłaRoundtree, Aimee. "Facial Recognition UX*". W SIGDOC '21: The 39th ACM International Conference on Design of Communication. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3472714.3473647.
Pełny tekst źródłaKulkarni, Ketki R., i Sahebrao B. Bagal. "Facial expression recognition". W 2015 International Conference on Information Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/infop.2015.7489442.
Pełny tekst źródłaKaur, Japleen, Jhalak Saxena, Jayesh Shah, Fahad i Satya Prakash Yadav. "Facial Emotion Recognition". W 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES). IEEE, 2022. http://dx.doi.org/10.1109/cises54857.2022.9844366.
Pełny tekst źródłaSlimani, K., M. Kas, Y. El Merabet, R. Messoussi i Y. Ruichek. "Facial emotion recognition". W the 2nd Mediterranean Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3177148.3180092.
Pełny tekst źródłaKulkarni, Ketki R., i Sahebrao B. Bagal. "Facial Expression Recognition". W 2015 Annual IEEE India Conference (INDICON). IEEE, 2015. http://dx.doi.org/10.1109/indicon.2015.7443572.
Pełny tekst źródłaMelaugh, Ryan, Nazmul Siddique, Sonya Coleman i Pratheepan Yogarajah. "Facial Expression Recognition on partial facial sections". W 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA). IEEE, 2019. http://dx.doi.org/10.1109/ispa.2019.8868630.
Pełny tekst źródłaRaporty organizacyjne na temat "Facial recognition"
Kroll, Joshua A. ACM TechBrief: Facial Recognition Technology. ACM, luty 2022. http://dx.doi.org/10.1145/3520137.
Pełny tekst źródłaEastman, Brittany. Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights. SAE International, lipiec 2022. http://dx.doi.org/10.4271/epr2022016.
Pełny tekst źródłaТарасова, Олена Юріївна, i Ірина Сергіївна Мінтій. Web application for facial wrinkle recognition. Кривий Ріг, КДПУ, 2022. http://dx.doi.org/10.31812/123456789/7012.
Pełny tekst źródłaCain, R. A., i G. B. Singleton. Laptop Computer - Based Facial Recognition System Assessment. Office of Scientific and Technical Information (OSTI), marzec 2001. http://dx.doi.org/10.2172/780800.
Pełny tekst źródłaMitchell, Michael. Facial Recognition Training: Improving Intelligence Collection by Soldiers. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2008. http://dx.doi.org/10.21236/ada494904.
Pełny tekst źródłaKimura, Marcia L., Rebecca L. Erikson i Nicholas J. Lombardo. Non-Cooperative Facial Recognition Video Dataset Collection Plan. Office of Scientific and Technical Information (OSTI), sierpień 2013. http://dx.doi.org/10.2172/1126360.
Pełny tekst źródłaEastman, Brittany. Facial Recognition Software and Privacy Law in Transportation Technology. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, maj 2024. http://dx.doi.org/10.4271/epr2024011.
Pełny tekst źródłaSegar, Gabrielle. The Unethical Nature of Artificial Intelligence within Facial Recognition Technologies. Ames (Iowa): Iowa State University, maj 2024. http://dx.doi.org/10.31274/cc-20240624-1498.
Pełny tekst źródłaBromberg, Daniel, Étienne Charbonneau i Andrew Smith. Facial Recognition and Drivers’ Licenses: Should the DMV Share Your Photo? University of New Hampshire Libraries, 2019. http://dx.doi.org/10.34051/p/2020.366.
Pełny tekst źródłaSelinger, Andrea, i Diego A. Socolinsky. Appearance-Based Facial Recognition Using Visible and Thermal Imagery: A Comparative Study. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2006. http://dx.doi.org/10.21236/ada444419.
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