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Neuromorphic vision sensors

Sensors and Actuators A: Physical, 1996
Abstract A review of current trends in biologically based computational visual sensors, also known as neuromorphic sensors, is presented. Neuromorphic sensors attempt to mimic the sensing and early visual-processing characteristics of living organisms.
R. Etienne-Cummings, J. Van der Spiegel
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Stereo vision sensor

JSAE Review, 2000
A stereo-based vision sensor was developed, together with the design of an algorithm for target sensing. Target sensing means outputting the distance and direction of the vehicle. This study reports on efforts to improve the performance of this sensor and attempts at applying it to the cruise control system.
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A CMOS Vision Sensor for Background Subtraction

2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020
Background subtraction is one of the first steps in many video processing algorithms. Thus, a real-time processing with low power consumption is convenient for different applications where power hungry devices with high computational capabilities can not be deployed.
Daniel García-Lesta   +3 more
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PASIC: a smart sensor for computer vision

[1990] Proceedings. 10th International Conference on Pattern Recognition, 2002
The processor, A/D converter, sensor integrated circuit (PASIC) prototype chip, which contains 256*256 photosensors, a linear array of 256 A/D converters, two 256 8-b shift registers a 256-bit-serial arithmetic logic unit, and a 256*128-b-dynamic RAM, is presented. It is claimed to be a viable architecture for low-level vision processing.
Keping Chen   +2 more
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Spike Coding for Dynamic Vision Sensors

2018 Data Compression Conference, 2018
As an emerging kind of retinomorphic camera, the dynamic vision sensors (DVS) have shown great advantages in wide dynamic range and high temporal resolution in various applications such as autonomous driving and high-speed motion photography. However, how to compress the output spike data of DVS still remains a big challenge. To address this challenge,
Zhichao Bi   +3 more
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Unconventional vision sensors

2000 Digest of the LEOS Summer Topical Meetings. Electronic-Enhanced Optics. Optical Sensing in Semiconductor Manufacturing. Electro-Optics in Space. Broadband Optical Networks (Cat. No.00TH8497), 2002
Summary form only given. What can be perceived by a human or computed by a machine from an image is fundamentally restricted by the captured data. Current imaging systems are limited in spatial resolution, field of view, and dynamic range. In this talk, we present new vision sensors that provide unconventional forms of visual information.
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Super-resolution for an omnidirectional vision sensor

Advanced Robotics, 2000
(2000). Super-resolution for an omnidirectional vision sensor. Advanced Robotics: Vol. 14, No. 5, pp. 427-429.
Hajime Nagahara   +2 more
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Vision Sensors and Cameras

2011
Silicon charge-coupled-device (CCD) imagers have been and are a specialty market ruled by a few companies for decades. Based on CMOS technologies, active-pixel sensors (APS) began to appear in 1990 at the 1 μm technology node. These pixels allow random access, global shutters, and they are compatible with focal-plane imaging systems combining sensing ...
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Multidimensional vision sensors for information processing

Nature Nanotechnology
The visual scene in the physical world integrates multidimensional information (spatial, temporal, polarization, spectrum and so on) and typically shows unstructured characteristics. Conventional image sensors cannot process this multidimensional vision data, creating a need for vision sensors that can efficiently extract features from substantial ...
Zhaoqing Wang   +3 more
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Neuromorphic vision sensors for computer vision

There have been significant advancements in the field of artificial intelligence (AI) over the past two decades, allowing such technologies to acquire popularity in both industry and academia. Face recognition software on Facebook or the iPhone, self-driving cars, and image recognition software are examples of AI applications that have become more ...
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