Progress of Materials and Devices for Neuromorphic Vision Sensors [PDF]
Nano-Micro Letters, 2022 The latest developments in bio-inspired neuromorphic vision sensors can be summarized in 3 keywords: smaller, faster, and smarter. (1) Smaller: Devices are becoming more compact by integrating previously separated components such as sensors, memory, and ...
Sung Woon Cho +3 more
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A Spike-Based Neuromorphic Architecture of Stereo Vision [PDF]
Frontiers in Neurorobotics, 2020 The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems.
Nicoletta Risi +4 more
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A Benchmark Environment for Neuromorphic Stereo Vision [PDF]
Frontiers in Robotics and AI, 2021 Without neuromorphic hardware, artificial stereo vision suffers from high resource demands and processing times impeding real-time capability. This is mainly caused by high frame rates, a quality feature for conventional cameras, generating large amounts
L. Steffen +4 more
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Nearly Panoramic Neuromorphic Vision with Transparent Photosynapses [PDF]
Advanced Science, 2023 Neuromorphic vision based on photonic synapses has the ability to mimic sensitivity, adaptivity, and sophistication of bio‐visual systems. Significant advances in artificial photosynapses are achieved recently. However, conventional photosyanptic devices
Xuemei Dong +14 more
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Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset [PDF]
Frontiers in Neurorobotics, 2020 Robotic grasping plays an important role in the field of robotics. The current state-of-the-art robotic grasping detection systems are usually built on the conventional vision, such as the RGB-D camera. Compared to traditional frame-based computer vision,
Bin Li +5 more
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Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: A Review [PDF]
SensorsEvent-based (neuromorphic) cameras depart from frame-based sensing by reporting asynchronous per-pixel brightness changes. This produces sparse, low-latency data streams with extreme temporal resolution but demands new processing paradigms. In this survey, we systematically examine neuromorphic vision along three main dimensions.
JOSÉ Luis Sánchez-López +2 more
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Benchmarking Neuromorphic Vision: Lessons Learnt from Computer Vision [PDF]
Frontiers in Neuroscience, 2015 Neuromorphic Vision sensors have improved greatly since the first silicon retina was presented almost three decades ago. They have recently matured to the point where they are commercially available and can be operated by laymen.
Cheston eTan +3 more
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Retinocortical in-sensor neuromorphic vision platform for NIR-augmented artificial vision [PDF]
Nature CommunicationsIn-sensor neuromorphic vision platforms with near-infrared (NIR) sensitivity are essential for intelligent imaging in low-light and multispectral environments.
Jong Bin An +13 more
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Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks [PDF]
Science and Technology of Advanced Materials, 2023 The traditional von Neumann architecture is gradually failing to meet the urgent need for highly parallel computing, high-efficiency, and ultra-low power consumption for the current explosion of data.
Yi Zhang, Zhuohui Huang, Jie Jiang
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Active fixation as an efficient coding strategy for neuromorphic vision. [PDF]
Sci Rep, 2023 ABSTRACT Contrary to a photographer, who puts a great effort in keeping the lens still, eyes insistently move even during fixation. This benefits signal decorrelation, which underlies an efficient encoding of visual information.
Testa S, Sabatini SP, Canessa A.
europepmc +4 more sources