We propose a novel two-stage end-to-end deep learning-based framework that can perform 3D profiling of objects directly from a single deformed fringe. For the ...
Read and download End-to-end deep learning-based fringe projection framework for 3D profiling of objects by Rakesh Chowdary Machineni, G. E. Spoorthi, ...
Sep 20, 2023 · The purpose of this work attempts to propose an end-to-end DL-based 3D reconstruction method from the single fringe pattern with excellent capability of ...
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Feb 1, 2024 · In this paper, we proposed a deep neural network, SFNet, that enables high-speed, high-quality 3D shape measurement even with a small number of fringe images.
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Aug 27, 2022 · The framework consists of two deep neural networks where one learns to produce a clean fringe pattern and the other to obtain an accurate phase ...
This paper proposes a novel time-distributed approach for temporal structured-light 3D shape reconstruction using deep learning.
a lightweight learning framework for 3D reconstruction using fringe ...
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Apr 19, 2023 · In this paper, we propose LiteF2DNet, a lightweight deep-learning framework to estimate the depth profile of objects, given reference and deformed fringes.
Fringe projection profilometry (FPP) is a promising 3D imaging technique that offers high spatial resolution, measurement accuracy and system flexibility ...
Jun 20, 2024 · In this paper, we propose LiteF2DNet, a lightweight deep-learning framework to estimate the depth profile of objects, given reference and ...
Jan 15, 2021 · In this work, we propose an end-to-end single-shot composite fringe projection phase retrieval method using deep learning. And based on the ...