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As a bio-inspired vision sensor, the spike camera emulates the operational principles of the fovea, a compact retinal region, by employing spike discharges to encode the accumulation of per-pixel luminance intensity. Leveraging its high…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Lin Zhu , Xianzhang Chen , Xiao Wang , Hua Huang

Conventional frame-based camera is not able to meet the demand of rapid reaction for real-time applications, while the emerging dynamic vision sensor (DVS) can realize high speed capturing for moving objects. However, to achieve visual…

Image and Video Processing · Electrical Eng. & Systems 2019-07-23 Lin Zhu , Siwei Dong , Tiejun Huang , Yonghong Tian

In this paper, we present results of processing Dynamic Vision Sensor (DVS) recordings of visual patterns with a retinal model based on foveal-pit inspired Difference of Gaussian (DoG) filters. A DVS sensor was stimulated with varying…

Computer Vision and Pattern Recognition · Computer Science 2021-06-01 Shriya T. P. Gupta , Pablo Linares-Serrano , Basabdatta Sen Bhattacharya , Teresa Serrano-Gotarredona

A spike camera is a specialized high-speed visual sensor that offers advantages such as high temporal resolution and high dynamic range compared to conventional frame cameras. These features provide the camera with significant advantages in…

Computer Vision and Pattern Recognition · Computer Science 2026-02-06 Jinze Yu , Xin Peng , Zhengda Lu , Laurent Kneip , Yiqun Wang

We propose a framework inspired by biological vision systems to produce saliency maps of digital images. Well-known computational models for receptive fields of areas in the visual cortex that are specialized for color and orientation…

Computer Vision and Pattern Recognition · Computer Science 2022-05-04 Reza Hojjaty Saeedy , Richard A. Messner

Neuromorphic vision sensors, such as the dynamic vision sensor (DVS) and spike camera, have gained increasing attention in recent years. The spike camera can detect fine textures by mimicking the fovea in the human visual system, and output…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Wei Zhang , Weiquan Yan , Yun Zhao , Wenxiang Cheng , Gang Chen , Huihui Zhou , Yonghong Tian

Active vision enables dynamic visual perception, offering an alternative to static feedforward architectures in computer vision, which rely on large datasets and high computational resources. Biological selective attention mechanisms allow…

Computer Vision and Pattern Recognition · Computer Science 2026-02-11 Giulia D'Angelo , Victoria Clerico , Chiara Bartolozzi , Matej Hoffmann , P. Michael Furlong , Alexander Hadjiivanov

Spike cameras, leveraging spike-based integration sampling and high temporal resolution, offer distinct advantages over standard cameras. However, existing approaches reliant on spike cameras often assume optimal illumination, a condition…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Lin Zhu , Kangmin Jia , Yifan Zhao , Yunshan Qi , Lizhi Wang , Hua Huang

As a neuromorphic sensor with high temporal resolution, spike cameras offer notable advantages over traditional cameras in high-speed vision applications such as high-speed optical estimation, depth estimation, and object tracking. Inspired…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Yijia Guo , Yuanxi Bai , Liwen Hu , Mianzhi Liu , Ziyi Guo , Lei Ma , Tiejun Huang

Spike cameras, as innovative neuromorphic devices, generate continuous spike streams to capture high-speed scenes with lower bandwidth and higher dynamic range than traditional RGB cameras. However, reconstructing high-quality images from…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Kang Chen , Yajing Zheng , Tiejun Huang , Zhaofei Yu

Recently, the bio-inspired spike camera with continuous motion recording capability has attracted tremendous attention due to its ultra high temporal resolution imaging characteristic. Such imaging feature results in huge data storage and…

Computer Vision and Pattern Recognition · Computer Science 2023-06-27 Kexiang Feng , Chuanmin Jia , Siwei Ma , Wen Gao

The amplification of high-speed micro-motions holds significant promise, with applications spanning fault detection in fast-paced industrial environments to refining precision in medical procedures. However, conventional motion…

Computer Vision and Pattern Recognition · Computer Science 2024-06-04 Baoyue Zhang , Yajing Zheng , Shiyan Chen , Jiyuan Zhang , Kang Chen , Zhaofei Yu , Tiejun Huang

Spike camera is a new type of bio-inspired vision sensor that records light intensity in the form of a spike array with high temporal resolution (20,000 Hz). This new paradigm of vision sensor offers significant advantages for many vision…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Lin Zhu , Yunlong Zheng , Mengyue Geng , Lizhi Wang , Hua Huang

The spike camera, with its high temporal resolution, low latency, and high dynamic range, addresses high-speed imaging challenges like motion blur. It captures photons at each pixel independently, creating binary spike streams rich in…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Liangyan Jiang , Chuang Zhu , Yanxu Chen

Pre-trained vision models have found widespread application across diverse domains. Prompt tuning-based methods have emerged as a parameter-efficient paradigm for adapting pre-trained vision models. While effective on standard benchmarks,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Qiugang Zhan , Anning Jiang , Ran Tao , Ao Ma , Xiangyu Zhang , Xiurui Xie , Guisong Liu

Sparse representation has attracted great attention because it can greatly save storage resources and find representative features of data in a low-dimensional space. As a result, it may be widely applied in engineering domains including…

Neural and Evolutionary Computing · Computer Science 2022-11-09 Chunming Jiang , Yilei Zhang

As an alternative to conventional multi-pixel cameras, single-pixel cameras enable images to be recorded using a single detector that measures the correlations between the scene and a set of patterns. However, to fully sample a scene in…

Computer Vision and Pattern Recognition · Computer Science 2016-07-29 David B. Phillips , Ming-Jie Sun , Jonathan M. Taylor , Matthew P. Edgar , Stephen M. Barnett , Graham G. Gibson , Miles J. Padgett

Spike cameras, with their exceptional temporal resolution, are revolutionizing high-speed visual applications. Large-scale synthetic datasets have significantly accelerated the development of these cameras, particularly in reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Liwen Hu , Lei Ma , Yijia Guo , Tiejun Huang

Low-light image enhancement is a promising solution to tackle the problem of insufficient sensitivity of human vision system (HVS) to perceive information in low light environments. Previous Retinex-based works always accomplish enhancement…

Image and Video Processing · Electrical Eng. & Systems 2020-05-18 Xiaoxiao Li , Xiaopeng Guo , Liye Mei , Mingyu Shang , Jie Gao , Maojing Shu , Xiang Wang

Particle Image Velocimetry (PIV) is a widely adopted non-invasive imaging technique that tracks the motion of tracer particles across image sequences to capture the velocity distribution of fluid flows. It is commonly employed to analyze…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Yunzhong Zhang , Bo Xiong , You Zhou , Changqing Su , Zhen Cheng , Zhaofei Yu , Xun Cao , Tiejun Huang
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