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A framework for accelerating neuromorphic-vision algorithms on FPGAs
2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2011Implementations of neuromorphic algorithms are traditionally implemented on platforms which consume significant power, falling short of their biologically underpinnings. Recent improvements in FPGA technology have led to FPGAs becoming a platform in which these rapidly evolving algorithms can be implemented. Unfortunately, implementing designs on FPGAs
Michael DeBole +5 more
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A hardware architecture for accelerating neuromorphic vision algorithms
2011 IEEE Workshop on Signal Processing Systems (SiPS), 2011Neuromorphic vision algorithms are biologically inspired algorithms that follow the processing that takes place in the visual cortex. These algorithms have proved to match classical computer vision algorithms in classification performance and even outperformed them in some instances.
Ahmed Al-Maashri +4 more
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Invited paper: Accelerating neuromorphic vision on FPGAs
CVPR 2011 WORKSHOPS, 2011Reconfigurable hardware such as FPGAs are being increasingly employed for application acceleration due to their high degree of parallelism, flexibility and power efficiency — factors which are key in the rapidly evolving field of embedded real-time vision. While recent advances in technology have increased the capacity of FPGAs, lack of standard models
Sungho Park +3 more
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Neuromorphic Vision Hybrid RRAM-CMOS Architecture
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2018The development of a bioinspired image sensor, which can match the functionality of the vertebrate retina, has provided new opportunities for vision systems and processing through the realization of new architectures. Research in both retinal cellular systems and nanodriven memristive technology has made a challenging arena more accessible to emulate ...
Jason Kamran Eshraghian +6 more
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A New Robotics Platform for Neuromorphic Vision: Beobots
2002This paper is a technical description of a new mobile robotics platform specifically designed for the implementation and testing of neuromorphic vision algorithms in unconstrained outdoors environments. The platform is being developed by a team of undergraduate students with graduate supervision and help.
Daesu Chung +10 more
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A neuromorphic saliency-map based active vision system
2011 45th Annual Conference on Information Sciences and Systems, 2011Selective attention is a very efficient strategy for engineering active vision systems that need to extract relevant information from the scene in real-time. We propose an implementation of a saliency-map based active vision system in which Address-Event sensors and neuromorphic winner-take-all devices complement conventional imagers and machine vision
Daniel Sonnleithner, Giacomo Indiveri
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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 ...openaire +1 more source
A Robust Neuromorphic Vision Sensor With Optical Control of Ferroelectric Switching
Nano Energy, 2021Erjia J. Guo +2 more
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Broadband Visual Adaption and Image Recognition in a Monolithic Neuromorphic Machine Vision System
Advanced Functional Materials, 2023Zhenxing Wang, Xueying Zhan, Yuchen Cai
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