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Quality control in additive manufacturing (AM) is vital for industrial applications in areas such as the automotive, medical and aerospace sectors. Geometric inaccuracies caused by shrinkage and deformations can compromise the life and…

Computer Vision and Pattern Recognition · Computer Science 2025-10-24 Keerthana Chand , Tobias Fritsch , Bardia Hejazi , Konstantin Poka , Giovanni Bruno

Digital image correlation (DIC) has become an industry standard to retrieve accurate displacement and strain measurement in tensile testing and other material characterization. Though traditional DIC offers a high precision estimation of…

Image and Video Processing · Electrical Eng. & Systems 2022-01-10 Ru Yang , Yang Li , Danielle Zeng , Ping Guo

Two-dimensional digital image correlation (2D-DIC) is a widely used optical technique to measure displacement and strain during asphalt concrete (AC) testing. An accurate 2-D DIC measurement can only be achieved when the camera's principal…

Computer Vision and Pattern Recognition · Computer Science 2024-03-01 Zehui Zhu , Imad L. Al-Qadi

X-ray computed tomography (XCT) has become a reliable metrology tool for measuring internal flaws and other microstructural features in engineering materials. However, tracking of material points to measure three-dimensional (3D)…

Materials Science · Physics 2023-04-13 Zifan Wang , Akshay Joshi , Angkur Jyoti Dipanka Shaikeea , Vikram Susdhir Deshpande

Reconstruction and monitoring of displacement and strain fields is an important problem in engineering. We analyze the remote and non-obtrusive methods of strain measurement based on photogrammetry and Digital Image Correlation (DIC). The…

Computer Vision and Pattern Recognition · Computer Science 2016-09-28 Ghulam Mubashar Hassan , Arcady V. Dyskin , Cara K. MacNish

Digital image correlation (DIC) is a well-established, non-invasive technique for tracking and quantifying the deformation of mechanical samples under strain. While it provides an obvious way to observe incremental and aggregate…

Materials Science · Physics 2019-04-16 Stefanos Papanikolaou , Michail Tzimas , Andrew C. E. Reid , Stephen A. Langer

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

In medical image segmentation, particularly in UNet-like architectures, upsampling is primarily used to transform smaller feature maps into larger ones, enabling feature fusion between encoder and decoder features and supporting multi-scale…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Chengkun Sun , Jinqian Pan , Renjie Liang , Zhengkang Fan , Xin Miao , Jiang Bian , Jie Xu

Accurate recovery of 3D geometrical surfaces from calibrated 2D multi-view images is a fundamental yet active research area in computer vision. Despite the steady progress in multi-view stereo reconstruction, most existing methods are still…

Computer Vision and Pattern Recognition · Computer Science 2016-01-20 Zhaoxin Li , Kuanquan Wang , Wangmeng Zuo , Deyu Meng , Lei Zhang

Background: Full-field, quantitative visualization techniques, such as digital image correlation (DIC), have unlocked vast opportunities for experimental mechanics. However, DIC has traditionally been a surface measurement technique, and…

Applied Physics · Physics 2024-10-24 Barry P Lawlor , Vatsa Gandhi , Guruswami Ravichandran

We propose a nonlocal strain measure for use with digital image correlation (DIC). Whereas the traditional notion of compatibility (strain as the derivative of the displacement field) is problematic when the displacement field varies…

Instrumentation and Detectors · Physics 2014-09-10 R. B. Lehoucq , P. L. Reu , D. Z. Turner

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…

This work presents a novel global digital image correlation (DIC) method, based on a newly developed convolution finite element (C-FE) approximation. The convolution approximation can rely on the mesh of linear finite elements and enables…

Computational Engineering, Finance, and Science · Computer Science 2024-11-06 Ye Lu , Weidong Zhu

A new methodology is proposed to estimate 3D displacement fields from pairs of images obtained from X-Ray Computed Micro Tomography (XCMT). Contrary to local approaches, a global approach is followed herein that evaluates {\em continuous}…

Classical Physics · Physics 2007-12-18 Stephane Roux , François Hild , Philippe Viot , Dominique Bernard

The task of 3D semantic scene completion using monocular cameras is gaining significant attention in the field of autonomous driving. This task aims to predict the occupancy status and semantic labels of each voxel in a 3D scene from…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Jiawei Yao , Jusheng Zhang , Xiaochao Pan , Tong Wu , Canran Xiao

A recently developed Projection-based Digital Image Correlation (P-DVC) method is here extended to 4D (space and time) displacement field measurement and mechanical identification based on a single radiograph per loading step instead of…

Computational Physics · Physics 2019-05-23 Clément Jailin , Ante Buljac , Amine Bouterf , François Hild , Stéphane Roux

Continuum dislocation dynamics (CDD) represents the evolution of systems of curved and connected dislocation lines in terms of density-like field variables which include the volume density of loops (or 'curvature density') as an additional…

Materials Science · Physics 2023-01-04 Xi Luo , Michael Zaiser

Microscopic digital volume correlation (DVC) and finite element precoalescence strain evaluations are compared for two nodular cast iron specimens. Displacement fields from \textit{in-situ} 3D synchrotron laminography images are obtained by…

The incidence of vertebral fragility fracture is increased by the presence of preexisting pathologies such as metastatic disease. Computational tools could support the fracture prediction and consequently the decision of the best medical…

Computational Engineering, Finance, and Science · Computer Science 2024-02-16 Chiara Garavelli , Alessandra Aldieri , Marco Palanca , Enrico Dall'Ara , Marco Viceconti

Positron range (PR) blurring degrades positron emission tomography (PET) image resolution, particularly for high-energy emitters like gallium-68 (68 Ga). We introduce Dual-Input Dynamic Convolution (DDConv), a novel computationally…

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