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. 2011;11(11):11000-20.
doi: 10.3390/s111111000. Epub 2011 Nov 22.

Selective change driven imaging: a biomimetic visual sensing strategy

Jose A Boluda  1 , Pedro Zuccarello, Fernando Pardo, Francisco Vegara
Affiliations

Selective change driven imaging: a biomimetic visual sensing strategy

Jose A Boluda et al. Sensors (Basel). 2011.

Abstract

Selective change driven (SCD) Vision is a biologically inspired strategy for acquiring, transmitting and processing images that significantly speeds up image sensing. SCD vision is based on a new CMOS image sensor which delivers, ordered by the absolute magnitude of its change, the pixels that have changed after the last time they were read out. Moreover, the traditional full frame processing hardware and programming methodology has to be changed, as a part of this biomimetic approach, to a new processing paradigm based on pixel processing in a data flow manner, instead of full frame image processing.

Keywords: CMOS image sensor; biomimetics; event-based vision; motion analysis.

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Figures

Figure 1.
Figure 1.
SCD vision sensor layout.
Figure 2.
Figure 2.
Single pixel schema.
Figure 3.
Figure 3.
SCD implementation of a generic image processing algorithm.
Figure 4.
Figure 4.
Pixels involved in the computation of linear spatial filtering in the (left) classical and (right) SCD approaches.
Figure 5.
Figure 5.
Implementation of the differential operator: Classical (left) and SCD (right).
Figure 6.
Figure 6.
SCD camera and experimental setup.
Figure 7.
Figure 7.
Images from the sensor.
Figure 8.
Figure 8.
Reconstructed images from the movement detection experiment.
Figure 9.
Figure 9.
Detected object movement.
Figure 10.
Figure 10.
Speed-up execution time of the SCD algorithm versus the original implementation.
See this image and copyright information in PMC

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