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Traditional cameras face a trade-off between low-light performance and high-speed imaging: longer exposure times to capture sufficient light results in motion blur, whereas shorter exposures result in Poisson-corrupted noisy images. While…

Image and Video Processing · Electrical Eng. & Systems 2025-06-23 Manasi Muglikar , Siddharth Somasundaram , Akshat Dave , Edoardo Charbon , Ramesh Raskar , Davide Scaramuzza

The high frame rate is a critical requirement for capturing fast human motions. In this setting, existing markerless image-based methods are constrained by the lighting requirement, the high data bandwidth and the consequent high…

Computer Vision and Pattern Recognition · Computer Science 2019-09-02 Lan Xu , Weipeng Xu , Vladislav Golyanik , Marc Habermann , Lu Fang , Christian Theobalt

Structured-light 3D scanners create 3D models with high accuracy, but controlling the accuracy and repeatability of the scanner is essential. The objective of this paper is to analyze the repeatability and accuracy of two structured-light…

Image and Video Processing · Electrical Eng. & Systems 2019-10-30 María-Eugenia Polo , Aurora Cuartero , Ángel M. Felicísimo

For the past few decades, structured light has been gaining popularity across various research fields. Its fascinating properties have been exploited for both previously unforeseen and established applications from new perspectives. Crucial…

Optics · Physics 2024-10-23 Carmelo Rosales-Guzmán , Valeria Rodriguez-Fajardo

Standard frame-based cameras that sample light intensity frames are heavily impacted by motion blur for high-speed motion and fail to perceive scene accurately when the dynamic range is high. Event-based cameras, on the other hand, overcome…

Computer Vision and Pattern Recognition · Computer Science 2021-03-22 Chankyu Lee , Adarsh Kumar Kosta , Kaushik Roy

The development of single-photon counting detectors and arrays has made tremendous steps in recent years, not the least because of various new applications in, e.g., LIDAR devices. In this work, a 3D imaging device based on real thermal…

We present a simple and compact approach of structured illumination microscopy by using three $2\times2$ fiber couplers and one $1\times4$ MEMS optics switch. One uniform and three fringe illumination patterns were produced by placing seven…

Optics · Physics 2019-12-18 Shiming Hu , Wenwen Liu , Junyao Jie , Yizheng Huang , Qingquan Wei , Manqing Tan , Yude Yu

Active range sensing using structured-light is the most accurate and reliable method for obtaining 3D information. However, most of the work has been limited to range sensing of static objects, and range sensing of dynamic (moving or…

Computer Vision and Pattern Recognition · Computer Science 2015-09-15 Changsoo Je , Sang Wook Lee , Rae-Hong Park

Shape reconstruction techniques using structured light have been widely researched and developed due to their robustness, high precision, and density. Because the techniques are based on decoding a pattern to find correspondences, it…

Computer Vision and Pattern Recognition · Computer Science 2017-10-03 Ryo Furukawa , Ryusuke Sagawa , Hiroshi Kawasaki

The structured light projection technique is a representative active method for 3-D reconstruction, but many researchers face challenges with the intricate projector calibration process. To address this complexity, we employs an additional…

Optics · Physics 2024-03-05 Seung-Jae Son , Yatong An , Jae-Sang Hyun

We describe a two-beam interference structured illumination fluorescence microscope. The novelty of the presented system lies in its simplicity. A programmable electro-optical spatial light modulator in an intermediate image plane enables…

In this paper, we present an efficient visual SLAM system designed to tackle both short-term and long-term illumination challenges. Our system adopts a hybrid approach that combines deep learning techniques for feature detection and…

Robotics · Computer Science 2025-02-28 Kuan Xu , Yuefan Hao , Shenghai Yuan , Chen Wang , Lihua Xie

High-speed image acquisition in light microscopy is essential for a wide range of applications, including observing dynamic biological processes and enabling high-throughput sample analysis. However, traditional imaging speeds are often…

Structured light (SL) 3D reconstruction captures the precise surface shape of objects, providing high-accuracy 3D data essential for industrial inspection and cultural heritage digitization. However, existing methods suffer from two key…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Tinglei Wan , Tonghua Su , Zhongjie Wang

Hyperspectral 3D imaging aims to acquire both depth and spectral information of a scene. However, existing methods are either prohibitively expensive and bulky or compromise on spectral and depth accuracy. In this work, we present Dispersed…

Image and Video Processing · Electrical Eng. & Systems 2024-03-26 Suhyun Shin , Seokjun Choi , Felix Heide , Seung-Hwan Baek

Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead of capturing images at a fixed rate, they asynchronously measure per-pixel brightness changes, and output a stream of events that encode the time,…

Structured light, in which the amplitude, phase, and polarization of an optical field are deliberately tailored in space and time, has enabled unprecedented control over optical fields, paving the way for diverse applications across…

Structured light concerns the control of light in its spatial degrees of freedom (amplitude, phase and polarization), and has proven instrumental in many applications. The creation of structured light usually involves the conversion of a…

Optics · Physics 2023-07-19 Stirling Scholes , Valeria Rodríguez-Fajardo , Andrew Forbes

We consider the problem of active 3D imaging using single-shot structured light systems, which are widely employed in commercial 3D sensing devices such as Apple Face ID and Intel RealSense. Traditional structured light methods typically…

Computer Vision and Pattern Recognition · Computer Science 2025-12-17 Jiaheng Li , Qiyu Dai , Lihan Li , Praneeth Chakravarthula , He Sun , Baoquan Chen , Wenzheng Chen

This paper focuses on increasing the resolution of depth maps obtained from 3D cameras using structured light technology. Two deep learning models FDSR and DKN are modified to work with high-resolution data, and data pre-processing…

Computer Vision and Pattern Recognition · Computer Science 2024-02-27 Martin Melicherčík , Lukáš Gajdošech , Viktor Kocur , Martin Madaras