Results 31 to 40 of about 119,672 (247)

Event based vision sensing and processing

2008 15th IEEE International Conference on Image Processing, 2008
Ministerio de Educación y Ciencia TEC-2006-11730-C03 ...
José Antonio Pérez-Carrasco, Carmen Serrano, Begoña Acha, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco   +4 more
openaire   +3 more sources

Event-based Vision Processors for Neuro-Vision Applications

, 2023
The concept of neuromorphic vision chips involves integrating an image sensor and brain-inspired parallel processors on a single silicon die, mimicking the human visual system with the image sensor acting as the retina and the processors as the brain's visual cortex.
Erik Gahner Larsen, Yu Wang
openaire   +1 more source

Event-Based Vision: Understanding Network Traffic Characteristics

2020 IEEE 21st International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM), 2020
Event-based vision fosters a new way of sensing reality. Event-based cameras work radically differently compared to legacy frame-based cameras because they continuously measure brightness changes at a per-pixel granularity (i.e., events) rather than snapshots of intensity measurements (i.e., frames).
Giulia Attanasio, Claudio Fiandrino, Joerg Widmer   +2 more
openaire   +2 more sources

CIFAR10-DVS: An Event-Stream Dataset for Object Classification

Frontiers in Neuroscience, 2017
Neuromorphic vision research requires high-quality and appropriately challenging event-stream datasets to support continuous improvement of algorithms and methods.
Hongmin Li, Hanchao Liu, Xiangyang Ji, Xiangyang Ji, Guoqi Li, Luping Shi   +5 more
doaj   +1 more source

Event-based vision in magneto-optic Kerr effect microscopy

AIP Advances, 2022
Magneto-optic Kerr effect (MOKE) microscopy is a widely used technique for observation and characterization of microscopic magnetic structures. While being efficient and easy-to-use, current commercial MOKE microscopes are not superb in time resolution ...
Kai Zhang, Yuelei Zhao, Zhiqin Chu, Yan Zhou   +3 more
doaj   +1 more source

Event-based Vision for Early Prediction of Manipulation Actions

CoRR, 2023
Neuromorphic visual sensors are artificial retinas that output sequences of asynchronous events when brightness changes occur in the scene. These sensors offer many advantages including very high temporal resolution, no motion blur and smart data compression ideal for real-time processing.
Daniel Deniz, Cornelia Fermüller, Eduardo Ros 0001, Manuel Rodriguez-Alvarez, Francisco Barranco   +4 more
openaire   +2 more sources

EventSegNet: Direct Sparse Semantic Segmentation from Event Data

Remote Sensing
Semantic segmentation tasks encompass various applications, such as autonomous driving, medical imaging, and robotics. Achieving accurate semantic information retrieval under conditions of high dynamic range and rapid scene changes remains a significant ...
Pengju Li, Yuqiang Fang, Jiayu Qiu, Jun He, Jishun Li, Qinyu Zhu, Xia Wang, Yasheng Zhang   +7 more
doaj   +1 more source

Spatiotemporal Feature Learning for Event-Based Vision

CoRR, 2019
Submitted to IEEE Transactions in Neural Networks and Learning ...
Rohan Ghosh, Anupam K. Gupta, Siyi Tang, Alcimar Soares, Nitish V. Thakor   +4 more
openaire   +2 more sources

A Framework for Event-based Computer Vision on a Mobile Device

CoRR, 2022
We present the first publicly available Android framework to stream data from an event camera directly to a mobile phone. Today's mobile devices handle a wider range of workloads than ever before and they incorporate a growing gamut of sensors that make devices smarter, more user friendly and secure.
Gregor Lenz, Serge Picaud, Sio-Hoi Ieng
openaire   +2 more sources

GET: Group Event Transformer for Event-Based Vision

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
This paper is accepted by ICCV ...
Yansong Peng, Yueyi Zhang, Zhiwei Xiong, Xiaoyan Sun 0001, Feng Wu 0001   +4 more
openaire   +2 more sources