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Optical Fringe Patterns Filtering Based on Multi-Stage Convolution
  Neural Network
v1v2v3 (latest)

Optical Fringe Patterns Filtering Based on Multi-Stage Convolution Neural Network

2 January 2019
Bowen Lin
S. Fu
Caiming Zhang
Fengling Wang
Yuliang Li
ArXiv (abs)PDFHTML

Papers citing "Optical Fringe Patterns Filtering Based on Multi-Stage Convolution Neural Network"

5 / 5 papers shown
Title
On the use of deep learning for phase recovery
On the use of deep learning for phase recovery
Kaiqiang Wang
Li Song
Chutian Wang
Zhenbo Ren
Guangyuan Zhao
...
Jianglei Di
George Barbastathis
Renjie Zhou
Jianlin Zhao
E. Lam
47
83
0
02 Aug 2023
Deep sound-field denoiser: optically-measured sound-field denoising
  using deep neural network
Deep sound-field denoiser: optically-measured sound-field denoising using deep neural network
K. Ishikawa
Daiki Takeuchi
Noboru Harada
Takehiro Moriya
67
1
0
27 Apr 2023
UHRNet: A Deep Learning-Based Method for Accurate 3D Reconstruction from
  a Single Fringe-Pattern
UHRNet: A Deep Learning-Based Method for Accurate 3D Reconstruction from a Single Fringe-Pattern
Yixiao Wang
Canlin Zhou
Xingyang Qi
Hui Li
3DV
13
3
0
23 Apr 2023
Single-shot fringe projection profilometry based on Deep Learning and
  Computer Graphics
Single-shot fringe projection profilometry based on Deep Learning and Computer Graphics
Fanzhou Wang
Chenxing Wang
Qingze Guan
3DV
67
45
0
04 Jan 2021
Deep neural network for fringe pattern filtering and normalisation
Deep neural network for fringe pattern filtering and normalisation
Alan Reyes-Figueroa
M. Rivera
20
5
0
14 Jun 2019
1