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Volume: 29 | Article ID: art00016
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In the quest of vision-sensors-on-chip: Pre-processing sensors for data reduction
A. Rodríguez-Vázquez
R. Carmona-Galán
J. Fernández-Berni
V. Brea
J.A. Leñero-Bardallo
  DOI :  10.2352/ISSN.2470-1173.2017.11.IMSE-195  Published Online :  January 2017
Abstract

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.

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
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 DOI 10.2352/ISSN.2470-1173.2017.11.IMSE-195
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A. Rodríguez-Vázquez, R. Carmona-Galán, J. Fernández-Berni, V. Brea, J.A. Leñero-Bardallo, "In the quest of vision-sensors-on-chip: Pre-processing sensors for data reduction"  in Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Sensors and Imaging Systems,  2017,  pp 96 - 101,  https://doi.org/10.2352/ISSN.2470-1173.2017.11.IMSE-195

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Copyright © Society for Imaging Science and Technology 2017
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Electronic Imaging
2470-1173
Society for Imaging Science and Technology
10.2352/ISSN.2470-1173.2017.11.IMSE-195
2470-1173(20170129)2017:11L.96;1-
s16.phd
/ist/ei/2017/00002017/00000011/art00016
Articles
In the quest of vision-sensors-on-chip: Pre-processing sensors for data reduction
Rodríguez-VázquezA.
Carmona-GalánR.
Fernández-BerniJ.
BreaV.
Leñero-BardalloJ.A.
29012017
2017
11
96
101
2017
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.
DATA REDUCTIONIMAGE INTERPRETATION BY MACHINESCOMPUTER VISION