Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/16692
Título: Computer vision based eyewear selector
Autores/as: Déniz Suárez, Oscar
Castrillon, Modesto 
Lorenzo, Javier 
Antón Canalís, Luis
Hernández Tejera, Francisco Mario 
Bueno, Gloria
Clasificación UNESCO: 120304 Inteligencia artificial
Fecha de publicación: 2010
Publicación seriada: Journal of Zhejiang University: Science C 
Resumen: This paper describes a low-cost system that allows the user to visualize different glasses models in live video. The user can also move the glasses to adjust its position on the face. The system, which runs at 9.5 frames/s on general-purpose hardware, has a homeostatic module that keeps image parameters controlled. This is achieved by using a camera with motorized zoom, iris, white balance, etc. This feature can be specially useful in environments with changing illumination and shadows, like in an optical shop. The system also includes a face and eye detection module and a glasses management module.
URI: http://hdl.handle.net/10553/16692
ISSN: 1869-1951
DOI: 10.1631/jzus.C0910377
Fuente: Journal Of Zhejiang University-Science C-Computers & Electronics [ISSN 1869-1951], v. 11 (2), p. 79-91
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