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Neuromorphic vision processing system [PDF]
Electronics Letters, 1997 A neuromorphic vision processing system which consists of a 32 × 32 CMOS imager and an edge feature extractor is implemented to mimic the early vision processing in vertebrates. The CMOS imager captures the image and performs edge processing, and the feature extractor can extract edges with different orientations. Both circuits have been fabricated and
null Lin, null Chen, null Chiueh
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Embodied Neuromorphic Vision with Continuous Random Backpropagation [PDF]
2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), 2020 The brain outperforms computer architectures in aspects of energy efficiency, robustness and adaptivity. Brain computations are modeled in silico with spiking neural networks and neuromorphic hardware. Recently, three-factor synaptic plasticity rules approximating backpropagation have been derived. Suited to neuromorphic hardware, these rules can learn
Jacques Kaiser +6 more
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A spike-based neuromorphic stereo architecture for active vision [PDF]
, 2019 The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet is still a critical bottleneck for artificial machine vision systems.
Solinas, Sergio +4 more
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APL Photonics, 2021 Driven by the increasing significance of artificial intelligence, the field of neuromorphic (brain-inspired) photonics is attracting increasing interest, promising new, high-speed, and energy-efficient computing hardware for key applications in ...
Matěj Hejda +4 more
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Research on neuromorphic vision sensor and its applications
物联网学报, 2019 Neuromorphic vision sensor is a biologically inspired artificial neural system that mimics algorithmic behavior of biological vision systems,which has numerous advantages over standard vision sensors,such as high temporal resolution,low latency,low power,
Yongsheng SANG +4 more
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Frontiers in Neuroscience, 2019 A neuromorphic vision sensors is a novel passive sensing modality and frameless sensors with several advantages over conventional cameras. Frame-based cameras have an average frame-rate of 30 fps, causing motion blur when capturing fast motion, e.g ...
Guang Chen +6 more
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A Review of Current Neuromorphic Approaches for Vision, Auditory and Olfactory Sensors
Frontiers in Neuroscience, 2016 Conventional vision, auditory and olfactory sensors generate large volumes of redundant data and as a result tend to consume excessive power. To address these shortcomings, neuromorphic sensors have been developed.
Anup eVanarse +2 more
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$O(N)$O(N)-Space Spatiotemporal Filter for Reducing Noise in Neuromorphic Vision Sensors [PDF]
, 2021 Neuromorphic vision sensors are an emerging technology inspired by how retina processing images. A neuromorphic vision sensor only reports when a pixel value changes rather than continuously outputting the value every frame as is done in an 'ordinary ...
Khodamoradi, Alireza, Kastner, Ryan
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An embedded neuromorphic vision system suitable for mobile robotics applications
, 2022 S.127-131An embedded vision system based on a neuromorphic vision sensor is presented. The neuromorphic vision sensor calculates gradient based optical flow with a resolution of 32x32 pixels and provides grey-scale image data as well as estimates of ...
Stocker, A., Becanovic, V., Kubina, S.
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Neuromorphic computing for content-based image retrieval.
PLoS ONE, 2022 Neuromorphic computing mimics the neural activity of the brain through emulating spiking neural networks. In numerous machine learning tasks, neuromorphic chips are expected to provide superior solutions in terms of cost and power efficiency.
Te-Yuan Liu +3 more
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