Tracking of carrier-coded fringe pattern for the automatic measurement of 3D object shapes

1996 ◽  
Author(s):  
Jingang Zhong ◽  
Ming Wang
Keyword(s):  
Fringe Pattern ◽  
Automatic Measurement ◽  
3D Object ◽  
Object Shapes

Weakly-Supervised Learning of Category-specific 3D Object Shapes

2019 ◽  
pp. 1-1
Author(s):  
Junwei Han ◽  
Yang Yang ◽  
Dingwen Zhang ◽  
Dong Huang ◽  
Dong Xu ◽  
...  
Keyword(s):  
Supervised Learning ◽  
Weakly Supervised Learning ◽  
3D Object ◽  
Object Shapes ◽  
Weakly Supervised

scholarly journals Visual Completion Of 3D Object Shapes From A Single View For Robotic Tasks

2019 ◽  
Author(s):  
Mohamed Tahoun ◽  
Carlos M. Mateo ◽  
Juan-Antonio Corrales-Ramon ◽  
Omar Tahri ◽  
Youcef Mezouar ◽  
...  
Keyword(s):  
3D Object ◽  
Single View ◽  
Visual Completion ◽  
Object Shapes ◽  
Robotic Tasks

BP neural network applied to 3D object measurement based on fringe pattern projection

Optik ◽  
2009 ◽  
Vol 120 (7) ◽  
pp. 347-350 ◽  
Author(s):  
Tang Yan ◽  
Chen Wen-Jing ◽  
Zhang Qiang ◽  
Su Xian-Yu ◽  
Xiang Li-Qun
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Fringe Pattern ◽  
3D Object ◽  
Pattern Projection ◽  
Fringe Pattern Projection

Fast profilometer for the automatic measurement of 3-D object shapes

1990 ◽  
Vol 29 (20) ◽  
pp. 3012 ◽  
Author(s):  
Shouhong Tang ◽  
Yau Y. Hung
Keyword(s):  
Automatic Measurement ◽  
Object Shapes

The Measurement of 3D Object Shape Based on Fourier Transform Profilometry

2013 ◽  
Vol 756-759 ◽  
pp. 678-681 ◽  
Author(s):  
Huan Dong
Keyword(s):  
Fourier Transform ◽  
Free Surface ◽  
Fringe Pattern ◽  
Digital Camera ◽  
Object Shape ◽  
3D Object ◽  
3D Shape Measurement ◽  
Grating Pattern ◽  
Fourier Transform Profilometry ◽  
Resolution System

In this paper, we present an optical profilometric technique for 3D shape measurement--Fourier Transform Profilometry (FTP). In contrast to other optical techniques, the grating pattern will in its spatial frequency fields as well as in its space-signal fields which projected onto the object surface and was Fourier-transformed and processed. This technique only requires a single fringe pattern up to no more than two to reproduce 3D object shape. FTP has a much higher sensitivity to the fringe quality than other techniques. We design a system which has a high-resolution system composed of a video projector and a digital camera. A fringe pattern of programming by computer is projected onto the free surface and its diagram is recorded by the camera. The deformed fringe pattern arising from the surface deformations is later compared to the unreformed (reference) one, leading to a phase map from which the free surface can be reconstructed after some series of processes.

Disentangling Deep Network for Reconstructing 3D Object Shapes from Single 2D Images

2021 ◽  
pp. 153-166
Author(s):  
Yang Yang ◽  
Junwei Han ◽  
Dingwen Zhang ◽  
De Cheng
Keyword(s):  
3D Object ◽  
Deep Network ◽  
Object Shapes ◽  
2D Images
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