Three-dimensional imaging of surfaces for industrial applications: integration of structured light projection, Gray code projection, and projector-camera calibration for improved performance

1996 ◽  
Author(s):  
Giovanna Sansoni ◽  
Stefano Corini ◽  
Sara Lazzari ◽  
Roberto Rodella ◽  
Franco Docchio
Keyword(s):  
Camera Calibration ◽  
Structured Light ◽  
Three Dimensional ◽  
Gray Code ◽  
Industrial Applications ◽  
Three Dimensional Imaging ◽  
Applications Integration ◽  
Improved Performance

scholarly journals A compact structured light based otoscope for three dimensional imaging of the tympanic membrane

2015 ◽  
Author(s):  
Anshuman J. Das ◽  
Julio C. Estrada ◽  
Zhifei Ge ◽  
Sara Dolcetti ◽  
Deborah Chen ◽  
...  
Keyword(s):  
Tympanic Membrane ◽  
Structured Light ◽  
Three Dimensional ◽  
Three Dimensional Imaging

Wavefront Reconstruction for Structured Light based Microscopic Three-dimensional Imaging

2020 ◽  
Author(s):  
Taichu Shi ◽  
Yang Qi ◽  
Haoshuo Chen ◽  
Nicolas K. Fontaine ◽  
Roland Ryf ◽  
...  
Keyword(s):  
Structured Light ◽  
Three Dimensional ◽  
Three Dimensional Imaging ◽  
Wavefront Reconstruction

Single-shot structured-light-field three-dimensional imaging

2020 ◽  
Vol 45 (12) ◽  
pp. 3256
Author(s):  
Zewei Cai ◽  
Giancarlo Pedrini ◽  
Wolfgang Osten ◽  
Xiaoli Liu ◽  
Xiang Peng
Keyword(s):  
Light Field ◽  
Structured Light ◽  
Three Dimensional ◽  
Single Shot ◽  
Three Dimensional Imaging

scholarly journals Binocular Vision Three-dimensional Imaging Technology by Using Structural Light Projection

2018 ◽  
Vol 227 ◽  
pp. 02006
Author(s):  
Xianmin Ma
Keyword(s):  
Binocular Vision ◽  
Structured Light ◽  
Three Dimensional ◽  
Three Dimensional Imaging ◽  
Matching Algorithm ◽  
Imaging Technology ◽  
Matching Process ◽  
Good Imaging ◽  
Imaging Result ◽  
Imaging Experiment

SIFT matching algorithm is used to carry out the binocular three-dimensional imaging. Active projection is introduced to solve the problem of low feature quantity and poor matching results in the matching process. By means of projection random speckle, the matching feature is increased, and the matching quality is greatly improved. According to the train running part of the three-dimensional imaging experiment, achieved a good imaging result. Compared with the Fourier profilometry in the active three-dimensional imaging technology. The experimental results show that the structured light projection binocular three-dimensional imaging has a better effect.

Dynamic Background Light Interference Suppression Technology Based on Invisible Structured Light Three-dimensional Imaging

2019 ◽  
Vol 39 (7) ◽  
pp. 0711004
Author(s):  
毛奥 Ao Mao ◽  
孙建锋 Jianfeng Sun ◽  
卢智勇 Zhiyong Lu ◽  
周煜 Yu Zhou ◽  
许倩 Qian Xu ◽  
...  
Keyword(s):  
Interference Suppression ◽  
Structured Light ◽  
Three Dimensional ◽  
Dynamic Background ◽  
Three Dimensional Imaging ◽  
Background Light ◽  
Light Interference

Three-Dimensional Imaging Method of High-Reflective Objects Based on Structured Light

2019 ◽  
Vol 56 (5) ◽  
pp. 051202
Author(s):  
郑宏博 Zheng Hongbo ◽  
Yo-Sung Ho Yo-Sung Ho ◽  
刘凯 Liu Kai
Keyword(s):  
Structured Light ◽  
Three Dimensional ◽  
Imaging Method ◽  
Three Dimensional Imaging

scholarly journals Accurate 3D Shape Reconstruction from Single Structured-Light Image via Fringe-to-Fringe Network

Photonics ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 459
Author(s):  
Hieu Nguyen ◽  
Zhaoyang Wang
Keyword(s):  
Neural Network ◽  
Structured Light ◽  
Three Dimensional ◽  
Industrial Applications ◽  
Shape Reconstruction ◽  
Reconstruction Technique ◽  
Neural Network Learning ◽  
3D Shape ◽  
Triple Frequency ◽  
3D Shape Reconstruction

Accurate three-dimensional (3D) shape reconstruction of objects from a single image is a challenging task, yet it is highly demanded by numerous applications. This paper presents a novel 3D shape reconstruction technique integrating a high-accuracy structured-light method with a deep neural network learning scheme. The proposed approach employs a convolutional neural network (CNN) to transform a color structured-light fringe image into multiple triple-frequency phase-shifted grayscale fringe images, from which the 3D shape can be accurately reconstructed. The robustness of the proposed technique is verified, and it can be a promising 3D imaging tool in future scientific and industrial applications.

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