2006
DOI: 10.1109/jssc.2006.874330
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A Micropower Centroiding Vision Processor

Abstract: Abstract-A biologically-inspired hybrid vision chip is presented for real-time object-based processing for tasks such as centroiding, sizing and counting of enclosed objects. This system presents the first silicon retina capable of centroiding and sizing multiple objects in true parallel fashion. Based on a novel distributed algorithm, this approach uses the input image to enclose a feedback loop to realize a data-driven pulsating action. The sensor provides a resolution of 48 48 pixels with a 85 m 85 m pixel … Show more

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Cited by 24 publications
(9 citation statements)
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“…Figure 4 shows the circuit schematic of the edge detector element. This has been adapted from Constandinou et al [9,10] to the expected contrast ratio and photocurrent levels. A global tuning mechanism is maintained by driving the I bias and I tune references off-chip and internally duplicating and distributing to the individual edge detector elements.…”
Section: Horizon Detector Circuitmentioning
confidence: 99%
“…Figure 4 shows the circuit schematic of the edge detector element. This has been adapted from Constandinou et al [9,10] to the expected contrast ratio and photocurrent levels. A global tuning mechanism is maintained by driving the I bias and I tune references off-chip and internally duplicating and distributing to the individual edge detector elements.…”
Section: Horizon Detector Circuitmentioning
confidence: 99%
“…4 shows the circuit schematic of the edge detector element. This has been adapted from [9], [10] to the expected contrast ratio and photocurrent levels. A global tuning mechanism is maintained by driving the I bias and I tune references off-chip and internally duplicating and distributing to the individual edge detector elements.…”
Section: B Edge Detector Circuitmentioning
confidence: 99%
“…Digital imaging systems such as stereo cameras are the most widely known existing technology in this application space [6,7]. These use active pixel sensors (APS) to generate a video, then identify and track an object frame-by-frame using image analysis algorithms [8][9][10]. APS tracking systems are powerful and flexible but require high-quality optical lenses, large area (several cm 2 ) megapixel image sensors, and dedicated high-speed image processors.…”
Section: Introductionmentioning
confidence: 99%