Articles with "induced error" as a keyword



Accurate 3D Reconstruction of Dynamic Objects by Spatial-Temporal Multiplexing and Motion-Induced Error Elimination

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Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2022.3150297

Abstract: Three-dimensional (3D) reconstruction of dynamic objects has broad applications, including object recognition and robotic manipulation. However, achieving high-accuracy reconstruction and robustness to motion simultaneously is a challenging task. In this paper, we present a novel… read more here.

Keywords: reconstruction; reconstruction dynamic; induced error; dynamic objects ... See more keywords

Stiffness Parameter Identification and Cutting-Force-Induced Error Compensation of an Adsorption Machining Robot

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Published in 2024 at "IEEE/ASME Transactions on Mechatronics"

DOI: 10.1109/tmech.2023.3329819

Abstract: Owing to the advantages of excellent flexibility and accessibility, robots have attracted extensive attention in the field of machining. However, due to their relatively low rigidity, the cutting-force-induced error is the main obstacle to their… read more here.

Keywords: force; stiffness parameter; force induced; induced error ... See more keywords
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Real-time 3D shape measurement with dual-frequency composite grating and motion-induced error reduction.

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Published in 2020 at "Optics express"

DOI: 10.1364/oe.403474

Abstract: Phase-shifting profilometry has been increasingly sought and applied in dynamic three-dimensional (3D) shape measurement. However, the object motion will lead to extra phase shift error and thus measurement error. In this paper, a real-time 3D… read more here.

Keywords: phase; induced error; motion induced; shape ... See more keywords

Deep learning-based method for non-uniform motion-induced error reduction in dynamic microscopic 3D shape measurement.

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Published in 2022 at "Optics express"

DOI: 10.1364/oe.461174

Abstract: The non-uniform motion-induced error reduction in dynamic fringe projection profilometry is complex and challenging. Recently, deep learning (DL) has been successfully applied to many complex optical problems with strong nonlinearity and exhibits excellent performance. Inspired… read more here.

Keywords: motion induced; error reduction; induced error; non uniform ... See more keywords