English
Related papers

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

200 papers

Asynchronously operating event cameras find many applications due to their high dynamic range, vanishingly low motion blur, low latency and low data bandwidth. The field saw remarkable progress during the last few years, and existing…

Computer Vision and Pattern Recognition · Computer Science 2023-03-27 Viktor Rudnev , Mohamed Elgharib , Christian Theobalt , Vladislav Golyanik

Low-light image enhancement (LLIE) aims to improve low-illumination images. However, existing methods face two challenges: (1) uncertainty in restoration from diverse brightness degradations; (2) loss of texture and color information caused…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Xu Wu , XianXu Hou , Zhihui Lai , Jie Zhou , Ya-nan Zhang , Witold Pedrycz , Linlin Shen

Capturing different intensity and directions of light rays at the same scene Light field (LF) can encode the 3D scene cues into a 4D LF image which has a wide range of applications (i.e. post-capture refocusing and depth sensing). LF image…

Image and Video Processing · Electrical Eng. & Systems 2024-09-27 Zhongxin Yu , Liang Chen , Zhiyun Zeng , Kunping Yang , Shaofei Luo , Shaorui Chen , Cheng Zhong

Inspired by the recent advances in implicitly representing signals with trained neural networks, we aim to learn a continuous representation for narrow-baseline 4D light fields. We propose an implicit representation model for 4D light…

Computer Vision and Pattern Recognition · Computer Science 2021-12-02 Paramanand Chandramouli , Hendrik Sommerhoff , Andreas Kolb

Feature detectors and descriptors are key low-level vision tools that many higher-level tasks build on. Unfortunately these fail in the presence of challenging light transport effects including partial occlusion, low contrast, and…

Computer Vision and Pattern Recognition · Computer Science 2019-01-15 Donald G. Dansereau , Bernd Girod , Gordon Wetzstein

This paper describes a novel approach to partially reconstruct high-resolution 4D light fields from a stack of differently focused photographs taken with a fixed camera. First, a focus map is calculated from this stack using a simple…

Computer Vision and Pattern Recognition · Computer Science 2015-03-09 A. Mousnier , E. Vural , C. Guillemot

Synthesizing a densely sampled light field from a single image is highly beneficial for many applications. The conventional method reconstructs a depth map and relies on physical-based rendering and a secondary network to improve the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-01 Andre Ivan , Williem , In Kyu Park

Low-light image enhancement (LLIE) aims to improve the visibility of images captured in poorly lit environments. Prevalent event-based solutions primarily utilize events triggered by motion, i.e., ''motion events'' to strengthen only the…

Computer Vision and Pattern Recognition · Computer Science 2025-04-15 Lei Sun , Yuhan Bao , Jiajun Zhai , Jingyun Liang , Yulun Zhang , Kaiwei Wang , Danda Pani Paudel , Luc Van Gool

Optical communication using modulated LEDs (e.g., visible light communication) is an emerging application for event cameras, thanks to their high spatio-temporal resolutions. Event cameras can be used simply to decode the LED signals and…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Shintaro Shiba , Quan Kong , Norimasa Kobori

Due to the extremely low latency, events have been recently exploited to supplement lost information for motion deblurring. Existing approaches largely rely on the perfect pixel-wise alignment between intensity images and events, which is…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Mingyuan Lin , Chi Zhang , Chu He , Lei Yu

We present a novel method to reconstruct a spectral central view and its aligned disparity map from spatio-spectrally coded light fields. Since we do not reconstruct an intermediate full light field from the coded measurement, we refer to…

Computer Vision and Pattern Recognition · Computer Science 2021-10-15 Maximilian Schambach , Jiayang Shi , Michael Heizmann

While an exciting diversity of new imaging devices is emerging that could dramatically improve robotic perception, the challenges of calibrating and interpreting these cameras have limited their uptake in the robotics community. In this…

Robotics · Computer Science 2021-03-23 S. Tejaswi Digumarti , Joseph Daniel , Ahalya Ravendran , Donald G. Dansereau

Uncrewed aerial vehicles (UAVs) are increasingly deployed in forest environments for tasks such as environmental monitoring and search and rescue, which require safe navigation through dense foliage and precise data collection. Traditional…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Christian Geckeler , Niklas Neugebauer , Manasi Muglikar , Davide Scaramuzza , Stefano Mintchev

In this paper, we present an efficient and robust deep learning solution for novel view synthesis of complex scenes. In our approach, a 3D scene is represented as a light field, i.e., a set of rays, each of which has a corresponding color…

Computer Vision and Pattern Recognition · Computer Science 2022-07-08 Zhong Li , Liangchen Song , Celong Liu , Junsong Yuan , Yi Xu

Event cameras are bio-inspired sensors with some notable features, including high dynamic range and low latency, which makes them exceptionally suitable for perception in challenging scenarios such as high-speed motion and extreme lighting…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Kuangyi Chen , Jun Zhang , Friedrich Fraundorfer

End-to-end (E2E) designed imaging systems integrate coded optical designs with decoding algorithms to enhance imaging fidelity for diverse visual tasks. However, existing E2E designs encounter significant challenges in maintaining high…

Image and Video Processing · Electrical Eng. & Systems 2025-07-31 Haoyu Wei , Xin Liu , Yuhui Liu , Qiang Fu , Wolfgang Heidrich , Edmund Y. Lam , Yifan Peng

Event camera sensors are bio-inspired sensors which asynchronously capture per-pixel brightness changes and output a stream of events encoding the polarity, location and time of these changes. These systems are witnessing rapid advancements…

Computer Vision and Pattern Recognition · Computer Science 2025-09-15 Aupendu Kar , Vishnu Raj , Guan-Ming Su

To enrich the functionalities of traditional cameras, light field cameras record both the intensity and direction of light rays, so that images can be rendered with user-defined camera parameters via computations. The added capability and…

Image and Video Processing · Electrical Eng. & Systems 2022-01-25 Muhammad Umair Mukati , Xi Zhang , Xiaolin Wu , Søren Forchhammer

We introduce a structured light system that enables full-frame 3D scanning at speeds of $1000\text{ fps}$, four times faster than the previous fastest systems. Our key innovation is the use of a custom acousto-optic light scanning device…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Dhawal Sirikonda , Praneeth Chakravarthula , Ioannis Gkioulekas , Adithya Pediredla

In this paper, we describe how scene depth can be extracted using a hyperspectral light field capture (H-LF) system. Our H-LF system consists of a 5 x 6 array of cameras, with each camera sampling a different narrow band in the visible…

Computer Vision and Pattern Recognition · Computer Science 2017-09-05 Kang Zhu , Yujia Xue , Qiang Fu , Sing Bing Kang , Xilin Chen , Jingyi Yu