Artículo
Smart imaging for power-efficient extraction of Viola-Jones local descriptors
Autor/es | Fernández Berni, Jorge
Carmona Galán, Ricardo Río Fernández, Rocío del Leñero Bardallo, Juan Antonio Suárez Cambre, Manuel Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2014 |
Fecha de depósito | 2018-05-17 |
Publicado en |
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Resumen | In computer vision, local descriptors permit to summarize relevant visual cues through feature vectors. These vectors constitute inputs for trained classifiers which in turn enable different high-level vision tasks. While ... In computer vision, local descriptors permit to summarize relevant visual cues through feature vectors. These vectors constitute inputs for trained classifiers which in turn enable different high-level vision tasks. While local descriptors certainly alleviate the computation load of subsequent processing stages by preventing them from handling raw images, they still have to deal with individual pixels. Feature vector extraction can thus become a major limitation for conventional embedded vision hardware. In this paper, we present a power-efficient sensing processing array conceived to provide the computation of integral images at different scales. These images are intermediate representations that speed up feature extraction. In particular, the mixed-signal array operation is tailored for extraction of Haar-like features. These features feed the cascade of classifiers at the core of the Viola-Jones framework. The processing lattice has been designed for the standard UMC 0.18μm 1P6M CMOS process. In addition to integral image computation, the array can be reprogrammed to deliver other early vision tasks: concurrent rectangular area sum, block-wise HDR imaging, Gaussian pyramids and image pre-warping for subsequent reduced kernel filtering. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España Office of Naval Research (ONR). United States |
Identificador del proyecto | TEC2012-38921-C02-01
IPT-2011-1625-430000 IPC-20111009 N000141110312 |
Cita | Fernández Berni, J., Carmona Galán, R., Río Fernández, R.d., Leñero Bardallo, J.A., Suárez Cambre, M. y Rodríguez Vázquez, Á.B. (2014). Smart imaging for power-efficient extraction of Viola-Jones local descriptors. Proceedings SPIE 9022, Image Sensors and Imaging Systems, 902209-. |
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