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Cameras capable of capturing videos at a trillion frames per second allow to freeze light in motion, a very counterintuitive capability when related to our everyday experience in which light appears to travel instantaneously. By combining…

Optics · Physics 2018-08-29 Daniele Faccio , Andreas Velten

In digital cameras, we find a major limitation: the image and video form inherited from a film camera obstructs it from capturing the rapidly changing photonic world. Here, we present vidar, a bit sequence array where each bit represents…

Computer Vision and Pattern Recognition · Computer Science 2023-03-22 Tiejun Huang , Yajing Zheng , Zhaofei Yu , Rui Chen , Yuan Li , Ruiqin Xiong , Lei Ma , Junwei Zhao , Siwei Dong , Lin Zhu , Jianing Li , Shanshan Jia , Yihua Fu , Boxin Shi , Si Wu , Yonghong Tian

Hyperspectral 3D imaging captures both depth maps and hyperspectral images, enabling comprehensive geometric and material analysis. Recent methods achieve high spectral and depth accuracy; however, they require long acquisition times often…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Suhyun Shin , Seungwoo Yoon , Ryota Maeda , Seung-Hwan Baek

Event cameras are novel bio-inspired sensors that offer advantages over traditional cameras (low latency, high dynamic range, low power, etc.). Optical flow estimation methods that work on packets of events trade off speed for accuracy,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Shintaro Shiba , Yoshimitsu Aoki , Guillermo Gallego

Optical interferometry has made tremendous development in fundamentals and applications of light. Traditional optical interferometry using simplex plane phase light just allows one dimensional measurement, but incapable of retrieving…

Optics · Physics 2019-12-10 Liang Fang , Zhenyu Wan , Jian Wang

Background: Large engineering structures, such as space launch towers and suspension bridges, are subjected to extreme forces that cause high-speed 3D deformation and compromise safety. These structures typically operate under extreme…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Banglei Guan , Yifei Bian , Zibin Liu , Haoyang Li , Xuanyu Bai , Taihang Lei , Bin Li , Yang Shang , Qifeng Yu

Structured light is a key component of many modern applications, ranging from superresolution microscopy to imaging, sensing, and quantum information processing. As the utilization of these powerful tools continues to spread, the demand for…

Event-based cameras can overpass frame-based cameras limitations for important tasks such as high-speed motion detection during self-driving cars navigation in low illumination conditions. The event cameras' high temporal resolution and…

Computer Vision and Pattern Recognition · Computer Science 2022-01-31 Haixin Sun , Minh-Quan Dao , Vincent Fremont

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

A resolution-enhanced dark-field microscope by structured light illumination is proposed to improve resolution and contrast. A set of phase-shifted fringes are projected to the sample plane at large angle to capture modulated dark-field…

Image and Video Processing · Electrical Eng. & Systems 2022-02-14 Shaobai Li , Bofan Song , Rongguang Liang

This paper presents a new method for 3D depth estimation using the output of an asynchronous time driven image sensor. In association with a high speed Digital Light Processing projection system, our method achieves real-time reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2018-11-28 T. Leroux , S. -H. Ieng , R. Benosman

Optical flow computation with frame-based cameras provides high accuracy but the speed is limited either by the model size of the algorithm or by the frame rate of the camera. This makes it inadequate for high-speed applications. Event…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Ashwin Sanjay Lele , Arijit Raychowdhury

The assessment of sewer pipe systems is a highly important, but at the same time cumbersome and error-prone task. We introduce an innovative system based on single-shot structured light modules that facilitates the detection and…

Computer Vision and Pattern Recognition · Computer Science 2023-03-07 Johannes Künzel , Darko Vehar , Rico Nestler , Karl-Heinz Franke , Anna Hilsmann , Peter Eisert

Ultrafast 3D imaging is indispensable for visualizing complex and dynamic biological processes. Conventional scanning-based techniques necessitate an inherent trade-off between acquisition speed and space-bandwidth product (SBP). Emerging…

3D object detection is essential for autonomous systems, enabling precise localization and dimension estimation. While LiDAR and RGB cameras are widely used, their fixed frame rates create perception gaps in high-speed scenarios. Event…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Jae-Young Kang , Hoonhee Cho , Kuk-Jin Yoon

Accurate 3D imaging is essential for machines to map and interact with the physical world. While numerous 3D imaging technologies exist, each addressing niche applications with varying degrees of success, none have achieved the breadth of…

The growth of 3D imaging across a range of sectors has driven a demand for high performance beam steering techniques. Fields as diverse as autonomous vehicles and medical imaging can benefit from a high speed, adaptable method of beam…

Applied Physics · Physics 2020-01-08 B. Haylock , M. A. Baker , T. M. Stace , M. Lobino

We propose a computational imaging method for time-efficient light-field acquisition that combines a coded aperture with an event-based camera. Different from the conventional coded-aperture imaging method, our method applies a sequence of…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Shuji Habuchi , Keita Takahashi , Chihiro Tsutake , Toshiaki Fujii , Hajime Nagahara

Research interest in rapid structured-light imaging has grown increasingly for the modeling of moving objects, and a number of methods have been suggested for the range capture in a single video frame. The imaging area of a 3D object using…

Computer Vision and Pattern Recognition · Computer Science 2015-09-01 Changsoo Je , Kwang Hee Lee , Sang Wook Lee

Event cameras are rapidly emerging as powerful vision sensors for 3D reconstruction, uniquely capable of asynchronously capturing per-pixel brightness changes. Compared to traditional frame-based cameras, event cameras produce sparse yet…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Chuanzhi Xu , Haoxian Zhou , Langyi Chen , Haodong Chen , Zeke Zexi Hu , Zhicheng Lu , Ying Zhou , Vera Chung , Qiang Qu , Weidong Cai