Mostrando ítems 1-10 de 465
Improving face recognition with multispectral fusion and support vector machines
(Universidade Estadual Paulista (Unesp), 2009-06-19)
O reconhecimento facial é uma das principais formas de identificação humana. Apesar das pesquisas em reconhecimento facial automático terem crescido substancialmente ao longo dos últimos 35 anos, identificar pessoas a ...
Face recognition and De-Identification in the frequency domain
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2016)
3D face recognition with descriptor images and shallow convolutional neural networks
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2020-11-05)
Nowadays, there is an increasing need for systems that can accurately and quickly identify a person. Traditional identification methods utilize something a person knows or something a person has. This kind of methods has ...
Improvements in illumination compensation for face recognition under noncontrolled illumination conditions
(Universidad de Chile, 2017)
Face recognition depends strongly on illumination conditions, especially in non-controlled scenarios where face illumination is not homogeneous. For this reason, illumination compensation is crucial in this task. Several ...
Enhancements by weighted feature fusion, selection and active shape model for frontal and pose variation face recognition
(Universidad de Chile, 2015)
Face recognition is one of the most active areas of research in computer vision because of its wide range of possible applications in person identification, access control, human computer interfaces, and video search, among ...
Face image synthesis and interpretation using 3D illumination-based active appearance models
(Instituto Nacional de Astrofísica, Óptica y Electrónica, 2010)
Herramienta para el agrupamiento (Clustering) de imágenes de rostros
(Erik Frank Flores Nava, 2017-02-15)
El presente Trabajo Terminal tiene como propósito el desarrollo de una herramienta que permita trabajar con imágenes de rostros sin etiquetar, y se encargue de obtener posibles grupos o clusters a partir de dichas imágenes ...