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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

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, a novel bio-inspired spike camera has been proposed, which continuously accumulates luminance intensity and fires spikes while the dispatch threshold is reached. Compared to the conventional frame-based cameras and the emerging…

Multimedia · Computer Science 2019-12-23 Siwei Dong , Lin Zhu , Daoyuan Xu , Yonghong Tian , Tiejun Huang

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

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

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

In comparison to conventional RGB cameras, the superior temporal resolution of event cameras allows them to capture rich information between frames, making them prime candidates for object tracking. Yet in practice, despite their…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Song Wang , Zhu Wang , Can Li , Xiaojuan Qi , Hayden Kwok-Hay So

Reconstructing a sequence of sharp images from the blurry input is crucial for enhancing our insights into the captured scene and poses a significant challenge due to the limited temporal features embedded in the image. Spike cameras,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Kang Chen , Shiyan Chen , Jiyuan Zhang , Baoyue Zhang , Yajing Zheng , Tiejun Huang , Zhaofei Yu

Detecting and magnifying imperceptible high-frequency motions in real-world scenarios has substantial implications for industrial and medical applications. These motions are characterized by small amplitudes and high frequencies.…

Computer Vision and Pattern Recognition · Computer Science 2024-07-24 Yutian Chen , Shi Guo , Fangzheng Yu , Feng Zhang , Jinwei Gu , Tianfan Xue

The integration of image and event streams offers a promising approach for achieving robust visual object tracking in complex environments. However, current fusion methods achieve high performance at the cost of significant computational…

Computer Vision and Pattern Recognition · Computer Science 2025-10-09 Jingjun Yang , Liangwei Fan , Jinpu Zhang , Xiangkai Lian , Hui Shen , Dewen Hu

Novel View Synthesis plays a crucial role by generating new 2D renderings from multi-view images of 3D scenes. However, capturing high-speed scenes with conventional cameras often leads to motion blur, hindering the effectiveness of 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Jiyuan Zhang , Kang Chen , Shiyan Chen , Yajing Zheng , Tiejun Huang , Zhaofei Yu

Spiking Neural Networks (SNN) are the so-called third generation of neural networks which attempt to more closely match the functioning of the biological brain. They inherently encode temporal data, allowing for training with less energy…

Computer Vision and Pattern Recognition · Computer Science 2021-05-17 Chethan M. Parameshwara , Simin Li , Cornelia Fermüller , Nitin J. Sanket , Matthew S. Evanusa , Yiannis Aloimonos

The advent of neuralmorphic spike cameras has garnered significant attention for their ability to capture continuous motion with unparalleled temporal resolution.However, this imaging attribute necessitates considerable resources for binary…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Kexiang Feng , Chuanmin Jia , Siwei Ma , Wen Gao

As a bio-inspired sensor with high temporal resolution, the spiking camera has an enormous potential in real applications, especially for motion estimation in high-speed scenes. However, frame-based and event-based methods are not well…

Computer Vision and Pattern Recognition · Computer Science 2022-04-05 Liwen Hu , Rui Zhao , Ziluo Ding , Lei Ma , Boxin Shi , Ruiqin Xiong , Tiejun Huang

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, bio-inspired vision sensors, asynchronously fire spikes by accumulating light intensities at each pixel, offering ultra-high energy efficiency and exceptional temporal resolution. Unlike event cameras, which record changes in…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Yasser Ashraf , Ahmed Sharshar , Velibor Bojkovic , Bin Gu

This paper introduces a spike camera with a distinct video capture scheme and proposes two methods of decoding the spike stream for texture reconstruction. The spike camera captures light and accumulates the converted luminance intensity at…

Multimedia · Computer Science 2021-04-13 Siwei Dong , Tiejun Huang , Yonghong Tian

Event-based cameras display great potential for a variety of tasks such as high-speed motion detection and navigation in low-light environments where conventional frame-based cameras suffer critically. This is attributed to their high…

Neural and Evolutionary Computing · Computer Science 2020-09-16 Chankyu Lee , Adarsh Kumar Kosta , Alex Zihao Zhu , Kenneth Chaney , Kostas Daniilidis , Kaushik Roy

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
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