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 |
Colección: | Artículos |
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