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Event cameras are bio-inspired sensors that perform well in challenging illumination conditions and have high temporal resolution. However, their concept is fundamentally different from traditional frame-based cameras. The pixels of an…

Computer Vision and Pattern Recognition · Computer Science 2022-06-13 Xin Peng , Ling Gao , Yifu Wang , Laurent Kneip

Laser remote sensing represents a powerful tool that enables the accurate measurement of the speed of moving targets. Crucially, most sensing techniques are 2-Dimensional and only enable direct determination of the speed along the line of…

Optics · Physics 2019-04-16 Xiao-Bo Hu , Bo-Zhao , Zhi-Han Zhu , Wei Gao , Carmelo Rosales-Guzman

Eye-tracking technology is integral to numerous consumer electronics applications, particularly in the realm of virtual and augmented reality (VR/AR). These applications demand solutions that excel in three crucial aspects: low-latency,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Baoheng Zhang , Yizhao Gao , Jingyuan Li , Hayden Kwok-Hay So

Imaging is indispensable for nearly every field of science, engineering, technology, and medicine. However, measurement noise and stochastic distortions pose fundamental limits to accessible spatiotemporal information despite impressive…

Optics · Physics 2023-01-02 Wyatt Adams , Anindya Ghoshroy , Durdu O. Guney

In Super-resolution, a varying-illumination image stack is required. This enriched the dataset typically necessitates precise mechanical control and micron scale optical alignment and repeatability. Here, we introduce a novel methodology…

We present a method that leverages the complementarity of event cameras and standard cameras to track visual features with low-latency. Event cameras are novel sensors that output pixel-level brightness changes, called "events". They offer…

Computer Vision and Pattern Recognition · Computer Science 2019-01-21 Daniel Gehrig , Henri Rebecq , Guillermo Gallego , Davide Scaramuzza

We propose and demonstrate a system for wavefront shaping which generates optical foci through complex disordered media and achieves an enhancement factor of greater than 100,000. To exploit the 1 Megapixel capacity of a digital…

Optics · Physics 2017-04-26 HyeonSeung Yu , KyeoReh Lee , YongKeun Park

A method for quantitative estimation of density in a high-speed flow field is presented, which uses a structured-light beam probe to interrogate the region of interest (ROI). Wavefront distortion suffered by the interrogating beam as it…

Optics · Physics 2022-02-09 Biswajit Medhi , K. P. J. Reddy

Event-based cameras are raising interest within the computer vision community. These sensors operate with asynchronous pixels, emitting events, or "spikes", when the luminance change at a given pixel since the last event surpasses a certain…

Computer Vision and Pattern Recognition · Computer Science 2023-05-18 Javier Cuadrado , Ulysse Rançon , Benoît Cottereau , Francisco Barranco , Timothée Masquelier

Rapid and programmable shaping of light fields is central to modern microscopy, display technologies, optical communications and sensing, quantum engineering, and quantum information processing. Current wavefront shaping technologies face a…

Quantum Physics · Physics 2026-01-15 Xin Wei , Zeyang Li , Abhishek V. Karve , Adam L. Shaw , David I. Schuster , Jonathan Simon

Structured light 3D surface imaging is a school of techniques in which structured light patterns are used for measuring the depth map of the object. Among all the designed structured light patterns, phase pattern has become most popular…

Image and Video Processing · Electrical Eng. & Systems 2020-09-14 Zhenzhou Wang

Optical communication is an integral part of the modern economy, having all but replaced electronic communication systems. Future growth in bandwidth appears to be on the horizon using structured light, encoding information into the spatial…

Event cameras are bio-inspired sensors that offer advantages over traditional cameras. They operate asynchronously, sampling the scene at microsecond resolution and producing a stream of brightness changes. This unconventional output has…

Computer Vision and Pattern Recognition · Computer Science 2022-09-14 Suman Ghosh , Guillermo Gallego

Capturing and reconstructing high-speed dynamic 3D scenes has numerous applications in computer graphics, vision, and interdisciplinary fields such as robotics, aerodynamics, and evolutionary biology. However, achieving this using a single…

Computer Vision and Pattern Recognition · Computer Science 2025-02-10 Zihao Zou , Ziyuan Qu , Xi Peng , Vivek Boominathan , Adithya Pediredla , Praneeth Chakravarthula

We present projective parallel single-pixel imaging (pPSI), a 3D photography method that provides a robust and efficient way to analyze the light transport behavior and enables separation of light effect due to global illumination, thereby…

Image and Video Processing · Electrical Eng. & Systems 2023-12-14 Yuxi Li , Hongzhi Jiang , Huijie Zhao , Xudong Li

3D scanning is a complex multistage process that generates a point cloud of an object typically containing damaged parts due to occlusions, reflections, shadows, scanner motion, specific properties of the object surface, imperfect…

Computer Vision and Pattern Recognition · Computer Science 2022-01-07 Taras Rumezhak , Oles Dobosevych , Rostyslav Hryniv , Vladyslav Selotkin , Volodymyr Karpiv , Mykola Maksymenko

Structured illumination microscopy (SIM) is an important super-resolution based microscopy technique that breaks the diffraction limit and enhances optical microscopy systems. With the development of biology and medical engineering, there…

Image and Video Processing · Electrical Eng. & Systems 2021-11-18 Xi Cheng , Jun Li , Qiang Dai , Zhenyong Fu , Jian Yang

Structured illumination microscopy (SIM) enables live cell, super-resolution imaging at high speeds. SIM uses sophisticated optical systems to generate pre-determined excitation light patterns, and reconstruction algorithms to enhance the…

Recent advances in Neural Radiance Fields and 3D Gaussian Splatting have demonstrated strong potential for large-scale UAV-based 3D reconstruction tasks by fitting the appearance of images. However, real-world large-scale captures are often…

Computer Vision and Pattern Recognition · Computer Science 2025-12-17 Zhuoxiao Li , Wenzong Ma , Taoyu Wu , Jinjing Zhu , Zhenchao Q , Shuai Zhang , Jing Ou , Yinrui Ren , Weiqing Qi , Guobin Shen , Hui Xiong , Wufan Zhao

Optical flow provides information on relative motion that is an important component in many computer vision pipelines. Neural networks provide high accuracy optical flow, yet their complexity is often prohibitive for application at the edge…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Yannick Schnider , Stanislaw Wozniak , Mathias Gehrig , Jules Lecomte , Axel von Arnim , Luca Benini , Davide Scaramuzza , Angeliki Pantazi
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