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High-speed depth from focus on a programmable vision chip using a focus tunable lens


Martel, Julien N P; Muller, Lorenz K; Carey, Stephen J; Dudek, Piotr (2017). High-speed depth from focus on a programmable vision chip using a focus tunable lens. In: IEEE International Symposium on Circuits and Systems (ISCAS) 2017, Baltimore, 29 May 2017 - 6 January 2017.

Abstract

In this paper, we present a 3D imaging system providing a semi-dense depth map, using a passive, low-power, compact, static, monocular camera. The demonstrated depth estimation system reconstructs 32 depth-levels in real-time at 25FPS drawing less than 1.9W of power. This is achieved by performing computation on an analog focal-plane processor that analyses frames captured through a vibrating liquid focus-tunable lens. The optical system provides shallow depth of focus images and fast sweeps of optical power, while the use of pixel-level processing removes the sensor-processor bandwidth limitations of depth-from-focus systems built using conventional imaging and processor technologies. All-in-focus images are also obtained.

Abstract

In this paper, we present a 3D imaging system providing a semi-dense depth map, using a passive, low-power, compact, static, monocular camera. The demonstrated depth estimation system reconstructs 32 depth-levels in real-time at 25FPS drawing less than 1.9W of power. This is achieved by performing computation on an analog focal-plane processor that analyses frames captured through a vibrating liquid focus-tunable lens. The optical system provides shallow depth of focus images and fast sweeps of optical power, while the use of pixel-level processing removes the sensor-processor bandwidth limitations of depth-from-focus systems built using conventional imaging and processor technologies. All-in-focus images are also obtained.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Event End Date:6 January 2017
Deposited On:23 Feb 2018 09:49
Last Modified:31 Jul 2018 05:11
Publisher:Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS) 2017
Series Name:Proceedings-IEEE International Symposium on Circuits and Systems
OA Status:Closed
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1109/ISCAS.2017.8050548
Official URL:http://ieeexplore.ieee.org/abstract/document/8050548/

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