Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс: http://earchive.tpu.ru/handle/11683/37317
Название: Methods of Automatic Face Angle Recognition for Life Support and Safety Systems
Авторы: Nebaba, Stepan Gennadievich
Zakharova, Alena Alexandrovna
Sidorenko, Tatiana Valerievna
Viitman, Viktor Robertovich
Ключевые слова: computer vision; face recognition; face position estimation; active shape models; 3D face model; deformable face model; компьютерное зрение; распознавание лиц; 3D-модели
Дата публикации: 2017
Издатель: Future Academy
Библиографическое описание: Methods of Automatic Face Angle Recognition for Life Support and Safety Systems / S. G. Nebaba [et al.] // The European Proceedings of Social & Behavioural Sciences (EpSBS). — 2017. — Vol. 19 : Lifelong Wellbeing in the World (WELLSO 2016) : III International Scientific Symposium, 11-16 September 2016, Tomsk, Russian Federation : [proceedings]. — [P. 735-744].
Аннотация: 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.
URI: http://earchive.tpu.ru/handle/11683/37317
Располагается в коллекциях:Материалы конференций

Файлы этого ресурса:
Файл РазмерФормат 
dx.doi.org-10.15405-epsbs.2017.01.97.pdf586,68 kBAdobe PDFПросмотреть/Открыть


Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.