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Related papers: Coded-E2LF: Coded Aperture Light Field Imaging fro…

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Light field (LF) representations aim to provide photo-realistic, free-viewpoint viewing experiences. However, the most popular LF representations are images from multiple views. Multi-view image-based representations generally need to…

Multimedia · Computer Science 2018-05-30 Xiang Zhang , Philip A. Chou , Ming-Ting Sun , Maolong Tang , Shanshe Wang , Siwei Ma , Wen Gao

Event cameras offer significant advantages for low-light video enhancement, primarily due to their high dynamic range. Current research, however, is severely limited by the absence of large-scale, real-world, and spatio-temporally aligned…

Computer Vision and Pattern Recognition · Computer Science 2024-08-30 Kanghao Chen , Guoqiang Liang , Hangyu Li , Yunfan Lu , Lin Wang

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide…

Computer Vision and Pattern Recognition · Computer Science 2019-01-21 Guillermo Gallego , Jon E. A. Lund , Elias Mueggler , Henri Rebecq , Tobi Delbruck , Davide Scaramuzza

Light field (LF) imaging captures both angular and spatial light distributions, enabling advanced photographic techniques. However, micro-lens array (MLA)- based cameras face a spatial-angular resolution tradeoff due to a single shared…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Javeria Shabbir , Muhammad Zeshan. Alam , M. Umair Mukati

An event camera detects per-pixel intensity difference and produces asynchronous event stream with low latency, high dynamic range, and low power consumption. As a trade-off, the event camera has low spatial resolution. We propose an…

Computer Vision and Pattern Recognition · Computer Science 2020-04-13 S. Mohammad Mostafavi I. , Jonghyun Choi , Kuk-Jin Yoon

Event cameras, also known as dynamic vision sensors, are an emerging modality for measuring fast dynamics asynchronously. Event cameras capture changes of log-intensity over time as a stream of 'events' and generally cannot measure…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Ruiming Cao , Dekel Galor , Amit Kohli , Jacob L Yates , Laura Waller

Light-field displays create an immersive experience by providing binocular depth sensation and motion parallax. Stacking light attenuating layers is one approach to implement a light field display with a broader depth of field, wide viewing…

Computer Vision and Pattern Recognition · Computer Science 2023-04-24 Sally Khaidem , Mansi Sharma

Event cameras have the potential to revolutionize vision systems with their high temporal resolution and dynamic range, yet they remain susceptible to lens flare, a fundamental optical artifact that causes severe degradation. In event…

Computer Vision and Pattern Recognition · Computer Science 2025-12-11 Haiqian Han , Lingdong Kong , Jianing Li , Ao Liang , Chengtao Zhu , Jiacheng Lyu , Lai Xing Ng , Xiangyang Ji , Wei Tsang Ooi , Benoit R. Cottereau

We introduce a structured illumination technique for dark-field x-ray microscopy optimized for three-dimensional imaging of ordered materials at sub-micrometer length scales. Our method utilizes a coded aperture to spatially modulate the…

Light field photography enables to record 4D images, containing angular information alongside spatial information of the scene. One of the important applications of light field imaging is post-capture refocusing. Current methods require for…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 Shachar Ben Dayan , David Mendlovic , Raja Giryes

Object pose tracking is one of the pivotal technologies in multimedia, attracting ever-growing attention in recent years. Existing methods employing traditional cameras encounter numerous challenges such as motion blur, sensor noise,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-25 Zibin Liu , Banglei Guan , Yang Shang , Shunkun Liang , Zhenbao Yu , Qifeng Yu

Light-field microscopy represents a promising solution for microscopic volumetric imaging, thanks to its capability to encode information on multiple planes in a single acquisition. This is achieved through its peculiar simultaneous capture…

Coded aperture imaging systems have recently shown great success in recovering scene depth and extending the depth-of-field. The ideal pattern, however, would have to serve two conflicting purposes: 1) be broadband to ensure robust…

Computer Vision and Pattern Recognition · Computer Science 2015-12-21 Xuehui Wang , Jinli Suo , Jingyi Yu , Yongdong Zhang , Qionghai Dai

Active depth sensors like structured light, lidar, and time-of-flight systems sample the depth of the entire scene uniformly at a fixed scan rate. This leads to limited spatio-temporal resolution where redundant static information is…

Computer Vision and Pattern Recognition · Computer Science 2021-12-21 Manasi Muglikar , Diederik Paul Moeys , Davide Scaramuzza

Neural implicit representation of visual scenes has attracted a lot of attention in recent research of computer vision and graphics. Most prior methods focus on how to reconstruct 3D scene representation from a set of images. In this work,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-12 Wenpu Li , Pian Wan , Peng Wang , Jinghang Li , Yi Zhou , Peidong Liu

Event cameras offering high dynamic range and low latency have emerged as disruptive technologies in imaging. Despite growing research on leveraging these benefits for different imaging tasks, a comprehensive study of recently advances and…

Computer Vision and Pattern Recognition · Computer Science 2025-05-12 Yunfan Lu , Xiaogang Xu , Pengteng Li , Yusheng Wang , Yi Cui , Huizai Yao , Hui Xiong

Light field cameras and multi-camera arrays have emerged as promising solutions for accurately estimating depth by passively capturing light information. This is possible because the 3D information of a scene is embedded in the 4D light…

Image and Video Processing · Electrical Eng. & Systems 2025-05-15 Rui Lourenço , Lucas Thomaz , Eduardo A. B. Silva , Sergio M. M. Faria

The Light Field (LF) deblurring task is a challenging problem as the blur images are caused by different reasons like the camera shake and the object motion. The single image deblurring method is a possible way to solve this problem.…

Computer Vision and Pattern Recognition · Computer Science 2023-03-14 Zeqi Shen , Shuo Zhang , Zhuhao Zhang , Qihua Chen , Xueyao Dong , Youfang Lin

Event cameras harness advantages such as low latency, high temporal resolution, and high dynamic range (HDR), compared to standard cameras. Due to the distinct imaging paradigm shift, a dominant line of research focuses on event-to-video…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Kanghao Chen , Hangyu Li , JiaZhou Zhou , Zeyu Wang , Lin Wang

Event cameras are novel vision sensors that sample, in an asynchronous fashion, brightness increments with low latency and high temporal resolution. The resulting streams of events are of high value by themselves, especially for high speed…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 F. Paredes-Vallés , G. C. H. E. de Croon
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