Results 1 to 10 of about 18,341 (116)
Modal Reconstruction Based on Arbitrary High-Order Zernike Polynomials for Deflectometry
Mathematics, 2023 Deflectometry is a non-destructive, full-field phase measuring method, which is usually used for inspecting optical specimens with special characteristics, such as highly reflective or specular surfaces, as well as free-form surfaces.
Tiendung Vu, Van-Thuc Tran, Ngoc-Tam Bui
exaly +3 more sources
A Multi-Stage Dual Encoder-Decoder Network Based on Event Image Cross-Modal Fusion for Image Deblurring. [PDF]
Sensors (Basel)Most existing event-driven image deblurring methods ignore inherent differences between the two modalities and lack explicit alignment strategies, leading to cross-modal mismatches and degraded feature reconstruction. To address this issue, a multi-stage
Liu Y, Jia Y, Qiang S, Lin Y, Zhao L.
europepmc +2 more sources
Research Progress on Generative Adversarial Network in Cross-modal Medical Image Reconstruction
Xiehe Yixue Zazhi, 2023 Single-modal medical images contain limited disease-specific information. To analyze and diagnose patients, clinicians often need to integrate multiple modal images.
LI Zhuoyuan +5 more
doaj +1 more source
Sensors, 2023 This paper addresses two aspects of the metrology of spherical, petal polymer reflectors which are part of an effort by the European Space Agency (ESA) to develop actively controlled foldable reflectors, enabling larger apertures on CubeSats and small ...
Carl Johan G. Nielsen, André Preumont
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Deep Semantic-Preserving Reconstruction Hashing for Unsupervised Cross-Modal Retrieval
Entropy, 2020 Deep hashing is the mainstream algorithm for large-scale cross-modal retrieval due to its high retrieval speed and low storage capacity, but the problem of reconstruction of modal semantic information is still very challenging.
Shuli Cheng, Liejun Wang, Anyu Du
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Measurement + Control, 2023 To achieve real-time sensing and deformation reconstruction of flexible plate structure, a 3D reconstruction technique based on a quasi-distributed fiber grating sensor network and order-optimized modal superposition method is proposed.
Jie Yan +7 more
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6G-oriented cross-modal signal reconstruction technology
Tongxin xuebao, 2022 Objectives:It is well known that multimodal services containing audio,video and haptics such as mixed reality,digital twin and metaverse are bound to become killer applications in the 6G era,however,the large amount of multimodal data generated by such ...
Ang LI +3 more
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Shock and Vibration, 2021 A novel approach for mode shape feature extraction and model updating of axisymmetric structures based on radial Tchebichef moment (RTM) descriptors is proposed in this study.
C. Zang +3 more
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Non-Destructive Structural Deformation Reconstruction via Data-Driven Modal Superposition
Applied SciencesModal superposition enables efficient estimation of full-field structural displacements from sparse measurements, forming a keystone of structural health monitoring (SHM) in linear elastic systems.
Gabriele Liuzzo, Pierluigi Fanelli
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MetrologyThe reconstruction of structural deformation fields from sparse or indirect measurements represents a key challenge in structural health monitoring, particularly for real-time applications involving lightweight mechanical components.
Gabriele Liuzzo +2 more
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