Congress 1151
Author/s
  • A. Rodríguez-Vázquez, R. Carmona-Galán, J. Fernández-Berni, V.M. Brea, J.A. Leñero-Bardallo
DOI
Source
  • IS&T International Symposium on Electronic Imaging 2017. San Francisco, Estados Unidos. 2017
Research Areas

In the Quest of Vision-Sensors-on-Chip: Pre-Processing Sensors for Data Reduction

This paper shows that the implementation of vision systems benefits from the usage of sensing front-end chips with embedded pre-processing capabilities – called CVIS. Such embedded pre-processors reduce the number of data to be delivered for ulterior processing. This strategy, which is also adopted by natural vision systems, relaxes system-level requirements regarding data storage and communications and enables highly compact and fast vision systems. The paper includes several proof-o-concept CVIS chips with embedded pre-processing and illustrate their potential advantages.
Keywords: COMPUTER VISION, DATA REDUCTION, IMAGE INTERPRETATION BY MACHINES
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