Methods of Automatic Face Angle Recognition for Life Support and Safety Systems; The European Proceedings of Social & Behavioural Sciences (EpSBS); Vol. 19 : Lifelong Wellbeing in the World (WELLSO 2016)

Methods of Automatic Face Angle Recognition for Life Support and Safety Systems; The European Proceedings of Social & Behavioural Sciences (EpSBS); Vol. 19 : Lifelong Wellbeing in the World (WELLSO 2016)

Detalhes bibliográficos
Parent link:The European Proceedings of Social & Behavioural Sciences (EpSBS)
Vol. 19 : Lifelong Wellbeing in the World (WELLSO 2016).— 2017.— [P. 735-744]
Corporate Authors: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра инженерной графики и промышленного дизайна (ИГПД), Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра иностранных языков института кибернетики (ИЯИК)
Outros Autores: Nebaba S. G. Stepan Gennadievich, Zakharova A. A. Alena Alexandrovna, Sidorenko T. V. Tatiana Valerievna, Viitman V. R. Viktor Robertovich
Resumo:Title screen
The vision of the surrounding and people that are within eyeshot influences the human well-being and safety. The rationale of system development that allows recognizing faces from difficult perspectives online and informing timely about approaching people is undisputed. The manuscript describes the methods of automatic detection of equilibrium face points in the bitmap image and methods of forming 3D face model. The optimal search algorithm for equilibrium points has been chosen. The method of forming 3D face model basing on a single bitmap image and building up the face image rotated to the preset angle has been proposed. The algorithm for estimating the angle and algorithm of the face image rotation have been implemented. The manuscript also reviews the existing methods of forming 3D face model. The algorithm for the formation of 3D face model from a single bitmap image and a set of individual 3D models have been proposed as well as the algorithm for forming different face angles with the calculated 3D face model aimed to create biometric vectors cluster. Operation results of the algorithm for face images formation from different angles have been presented.
Idioma:inglês
Publicado em: 2017
Assuntos:
электронный ресурс
труды учёных ТПУ
computer vision
face recognition
face position estimation
active shape models
3D face model
deformable face model
компьютерное зрение
распознавание лиц
3D-модели
Acesso em linha:http://dx.doi.org/10.15405/epsbs.2017.01.97
http://earchive.tpu.ru/handle/11683/37317
Formato: Recurso Electrónico Capítulo de Livro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=653460

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