Добірка наукової літератури з теми "Face log"

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Дисертації з теми "Face log"

1

Cook, James Allen. "A decompositional investigation of 3D face recognition." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16653/1/James_Allen_Cook_Thesis.pdf.

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Анотація:
Automated Face Recognition is the process of determining a subject's identity from digital imagery of their face without user intervention. The term in fact encompasses two distinct tasks; Face Verficiation is the process of verifying a subject's claimed identity while Face Identification involves selecting the most likely identity from a database of subjects. This dissertation focuses on the task of Face Verification, which has a myriad of applications in security ranging from border control to personal banking. Recently the use of 3D facial imagery has found favour in the research community
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2

Cook, James Allen. "A decompositional investigation of 3D face recognition." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16653/.

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Анотація:
Automated Face Recognition is the process of determining a subject's identity from digital imagery of their face without user intervention. The term in fact encompasses two distinct tasks; Face Verficiation is the process of verifying a subject's claimed identity while Face Identification involves selecting the most likely identity from a database of subjects. This dissertation focuses on the task of Face Verification, which has a myriad of applications in security ranging from border control to personal banking. Recently the use of 3D facial imagery has found favour in the research community
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3

Nelson-Moon, Zararna Louise. "Myosin heavy chain expression in the human masseter muscle and vertical facial form." Thesis, University College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252100.

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4

Finlen, Kate Elizabeth. "Long lower anterior face height: phenotypic diversity." Thesis, University of Iowa, 2017. https://ir.uiowa.edu/etd/5468.

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Анотація:
Introduction: The hyperdivergent facial form is typically characterized by a long lower anterior facial height (LAFH), steep mandibular plane angle, and skeletal open bite. The purpose of our study was to further explore morphologic variation within long LAFH subjects using geometric morphometric methods. Methods: Cephalograms of 147 individuals (n= 147; 87 female, 60 male; age range: 16-68 years) with LAFH to total anterior facial height (TAFH), ratio (LAFH/TAFH), at or above 57.4% were studied. Cluster analysis and canonical variate analysis captured phenotypic variation and identified homog
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5

da, Silva Gomes Joao Paulo. "Brain inspired approach to computational face recognition." Thesis, University of Plymouth, 2015. http://hdl.handle.net/10026.1/3544.

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Анотація:
Face recognition that is invariant to pose and illumination is a problem solved effortlessly by the human brain, but the computational details that underlie such efficient recognition are still far from clear. This thesis draws on research from psychology and neuroscience about face and object recognition and the visual system in order to develop a novel computational method for face detection, feature selection and representation, and memory structure for recall. A biologically plausible framework for developing a face recognition system will be presented. This framework can be divided into f
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6

Flude, Brenda M. "Long term repetition priming of familiar faces." Thesis, Lancaster University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358733.

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7

Lam-Médioni, Régina. "Etude de l'angle goniaque sur des teleradiographies de 151 cas de faces longues en classe ii et iii d'angle." Paris 7, 1988. http://www.theses.fr/1988PA071052.

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8

Prado, Kelvin Salton do. "Comparação de técnicas de reconhecimento facial para identificação de presença em um ambiente real e semicontrolado." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-07012018-222531/.

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Анотація:
O reconhecimento facial é uma tarefa que os seres humanos realizam naturalmente todos os dias e praticamente sem esforço nenhum. Porém para uma máquina este processo não é tão simples. Com o aumento do poder computacional das máquinas atuais criou-se um grande interesse no processamento de imagens e vídeos digitais, com aplicações nas mais diversas áreas de conhecimento. Este trabalho objetiva a comparação de técnicas de reconhecimento facial, já conhecidas na literatura, com o intuito de identificar qual técnica possui melhor desempenho em um ambiente real e semicontrolado. Secundariamente av
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9

Le, Guennec Benoît Hoornaert Alain. "Impact du remodelage osseux crânio-facial sur l'esthétique à long terme de la prothèse implanto portée unitaire du secteur maxillaire antérieur." [S.l.] : [s.n.], 2008. http://castore.univ-nantes.fr/castore/GetOAIRef?idDoc=50416.

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10

Miszkiel, Samanta, and Alan Cheng. "Hej, kom spela med oss! (Hi, come play with us!)." Thesis, Malmö högskola, Fakulteten för kultur och samhälle (KS), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22169.

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Анотація:
People play games now more than ever before. While the digital gaming industry dominates the market, boardgaming has been living in its shadow. Board games offer a physical tangibility and a social experience that can be found in few digital games.How do we create a tool that further builds upon those strengths?The purpose of this study is to examine the possibility of developing a service that consists of an mobile application and board game events to promote social face-to-face interaction. Focus has been on the social face-to-face interaction in the context of a board game session. We have
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