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Related papers: Non-target Structural Displacement Measurement Usi…

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Reliable displacement measurement is fundamental for structural health monitoring and digital engineering workflows, as it provides direct structural response information. Vision-based measurement has emerged as a promising approach for…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Qingyu Xian , Hao Cheng , Berend Jan van der Zwaag , Rolands Kromanis , Ozlem Durmaz Incel

Displacement is an important measurement for the assessment of structural conditions, but its field measurement is often hindered by difficulties associated with sensor installation and measurement accuracy. To overcome the disadvantages of…

Computer Vision and Pattern Recognition · Computer Science 2022-09-16 Jongbin Won , Minhyuk Song , Gunhee Kim , Jong-Woong Park , Haemin Jeon

In the application of computer-vision based displacement measurement, an optical target is usually required to prove the reference. In the case that the optical target cannot be attached to the measuring objective, edge detection, feature…

Computer Vision and Pattern Recognition · Computer Science 2021-12-13 Dachuan Shi , Eldar Sabanovic , Luca Rizzetto , Viktor Skrickij , Roberto Oliverio , Nadia Kaviani , Yunguang Ye , Gintautas Bureika , Stefano Ricci , Markus Hecht

Because of the advantages of easy deployment, low cost and non-contact, computer vision-based structural displacement acquisition technique has received wide attention and research in recent years. However, the displacement field…

Image and Video Processing · Electrical Eng. & Systems 2023-04-03 Yapeng Guo , Peng Zhong , Yi Zhuo , Fanzeng Meng , Hao Di , Shunlong Li

This paper proposes a pipeline to automatically track and measure displacement and vibration of structural specimens during laboratory experiments. The latest Mask Regional Convolutional Neural Network (Mask R-CNN) can locate the targets…

Image and Video Processing · Electrical Eng. & Systems 2021-09-13 Yongsheng Bai , Ramzi M. Abduallah , Halil Sezen , Alper Yilmaz

Large displacement optical flow is an integral part of many computer vision tasks. Variational optical flow techniques based on a coarse-to-fine scheme interpolate sparse matches and locally optimize an energy model conditioned on colour,…

Computer Vision and Pattern Recognition · Computer Science 2022-06-28 Qiao Chen , Charalambos Poullis

Contactless and non-invasive estimation of mechanical properties of physical media from optical observations is of interest for manifold engineering and biomedical applications, where direct physical measurements are not possible.…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 A. N. Maria Antony , T. Richter , E. Gladilin

Dense ground displacement measurements are crucial for geological studies but are impractical to collect directly. Traditionally, displacement fields are estimated using patch matching on optical satellite images from different acquisition…

Computer Vision and Pattern Recognition · Computer Science 2025-04-21 Juliette Bertrand , Sophie Giffard-Roisin , James Hollingsworth , Julien Mairal

Non-intrusive displacement measurement technique has a distinct edge over displacement sensors working in contact mode. Laser Doppler Vibrometry based schemes (LDV) offer such an advantage. However, the measurements are limited up to…

Instrumentation and Detectors · Physics 2020-02-17 Nikhil Kumar Pachisia , Kajal Tiwari , Ritwick Das

Non-invasive vascular elastography is an emerging technique in vascular tissue imaging. During the past decades, several techniques have been suggested to estimate the tissue elasticity by measuring the displacement of the Carotid vessel…

Thanks to its capability of acquiring full-view frames at multiple kilohertz, ultrafast ultrasound imaging unlocked the analysis of rapidly changing physical phenomena in the human body, with pioneering applications such as ultrasensitive…

Image and Video Processing · Electrical Eng. & Systems 2020-12-22 Dimitris Perdios , Manuel Vonlanthen , Florian Martinez , Marcel Arditi , Jean-Philippe Thiran

Displacement mapping is an important tool for modeling detailed geometric features. We explore the problem of authoring complex surfaces while ray tracing interactively. Current techniques for ray tracing displaced surfaces rely on…

Graphics · Computer Science 2025-02-05 Rama Carl Hoetzlein

High-resolution multi-modality information acquired by vision-based tactile sensors can support more dexterous manipulations for robot fingers. Optical flow is low-level information directly obtained by vision-based tactile sensors, which…

Computer Vision and Pattern Recognition · Computer Science 2023-09-14 Zhiyuan Zhang , Hua Yang , Zhouping Yin

This study aimed to develop a virtual sensing algorithm of structural vibration for the real-time identification of unmeasured information. First, certain local point vibration responses (such as displacement and acceleration) are measured…

Computational Engineering, Finance, and Science · Computer Science 2022-11-24 Seungin Oh , Hanmin Lee , Jai-Kyung Lee , Hyungchul Yoon , Jin-Gyun Kim

Optimization-based 3D object tracking is known to be precise and fast, but sensitive to large inter-frame displacements. In this paper we propose a fast and effective non-local 3D tracking method. Based on the observation that erroneous…

Computer Vision and Pattern Recognition · Computer Science 2022-07-27 Xuhui Tian , Xinran Lin , Fan Zhong , Xueying Qin

Digital image correlation method is a non contact deformation measurement technique. Despite years of development, it is still difficult to solve the contradiction between calculation efficiency and seed point quantity.With the development…

Instrumentation and Detectors · Physics 2023-06-06 Yixiao Wang , Canlin Zhou , Si ShuChun , Hui Li

Fingerprinting-based indoor localization methods typically require labor-intensive site surveys to collect signal measurements at known reference locations and frequent recalibration, which limits their scalability. This paper addresses…

Signal Processing · Electrical Eng. & Systems 2025-04-18 Haozhou Hu , Harpreet S. Dhillon , R. Michael Buehrer

Dark-field X-ray Microscopy (DFXM) is a novel diffraction-based imaging technique that non-destructively maps the local deformation from crystalline defects in bulk materials. While studies have demonstrated that DFXM can spatially map 3D…

Digital Volume Correlation (DVC) is widely used for the analysis of three-dimensional displacement and strain fields based on CT scans. However, the applicability of DVC methods is limited when it comes to geomaterials: CT speckles are…

Image and Video Processing · Electrical Eng. & Systems 2024-07-17 Chengsheng Li , Zhijun Liu

Structural damage detection using non-contact sensing remains a challenging problem in structural health monitoring. This study presents a data-driven framework based on Dynamic Mode Decomposition (DMD) for extracting structural dynamics…

Systems and Control · Electrical Eng. & Systems 2026-05-05 R K B M Rizmi , Shabbir Ahmed
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