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Shape Sensing of Post-Buckling Shear Panels Using Distributed Optical Fiber Sensors and Ko’s Displacement Theory: Comparison with Digital Image Correlation [PDF]
SensorsThis paper presents a comparison of out-of-plane displacement measurement techniques for shear-loaded panels, using both a digital image correlation system and a distributed optical fiber sensor system.
Pietro Aceti +3 more
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Correlation Image Sensor-Assisted Single-Frame Optical Flow Estimation in Motion-Blurred Scenes
IEEE AccessSingle-frame optical flow estimation is a more challenging task than predicting the optical flow between adjacent frames in a video. This paper presents a two-stream network that combines motion information from correlation images with appearance ...
Pan Wang, Toru Kurihara, Jun Yu
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Journal of Open Research Software, 2021 This paper describes OpenOpticalFlow_PIV, an open source Matlab program integrating the optical flow method with the cross-correlation method for extraction of high-resolution velocity fields from particle images with large displacements.
Tianshu Liu, David M. Salazar
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Remote Sensing, 2023 In February 2023, Mw 7.8 and Mw 7.7 earthquakes struck southeastern Turkey. Generating a coseismic 3D deformation field that can directly reflect the characteristics of surface deformation is important for revealing the movement mode of a seismogenic ...
Qi An +6 more
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Deep HDR Deghosting by Motion-Attention Fusion Network
Sensors, 2022 Multi-exposure image fusion (MEF) methods for high dynamic range (HDR) imaging suffer from ghosting artifacts when dealing with moving objects in dynamic scenes. The state-of-the-art methods use optical flow to align low dynamic range (LDR) images before
Yifan Xiao +2 more
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MULTI-ORIENTATION EDGE-BASED SATELLITE IMAGE MATCHING METHOD FOR OPTICAL AND SAR IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Multi-sensor image matching is a key technology to fully exploit complementary information on images from multiple sources. In particular, the nonlinear radiance distortion between optical and SAR images makes image matching very difficult.
Y. Lin +5 more
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Correlation Image Sensor for Algebraic Solution of Optical Flow
IEEE Journal of the Electron Devices Society, 2021 In this article, we describe several enhancements of a three-phase correlation image sensor (3PCIS) toward its uses for a direct algebraic method of optical flow detection, i.e., determining velocity field of image patterns for detecting, tracking, and ...
Shigeru Ando +4 more
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Peridynamic Approach to Digital Image Correlation Strain Calculation Algorithm
Applied Sciences, 2022 Digital image correlation is an experimental optical non-contact full field displacement and strain evaluation method based on the surface subsets tracking with photo cameras, digital images processing, and numerical computation.
Tomas Vaitkunas +2 more
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Measurement uncertainty analysis in stereo vision system [PDF]
Problemy Eksploatacji, 2011 This paper presents measurement uncertainty analysis in stereo visionsystem. Error sources are divided into two categories: correlation errors and 3Dreconstruction errors, including camera calibration influence.
Piotr Garbacz
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A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework
Space: Science & Technology, 2021 The current interpretation technology of remote sensing images is mainly focused on single-modal data, which cannot fully utilize the complementary and correlated information of multimodal data with heterogeneous characteristics, especially for synthetic
Meiyu Huang +8 more
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