Vibration amplitude analysis with a single frame using a structured light pattern of a four-core optical fibre

2005 ◽  
Vol 249 (4-6) ◽  
pp. 515-522 ◽  
Author(s):  
S. Tunç Yılmaz ◽  
Umut D. Özugˇurel ◽  
Karahan Bulut ◽  
M. Naci Inci
Keyword(s):  
Optical Fibre ◽  
Vibration Amplitude ◽  
Structured Light ◽  
Amplitude Analysis ◽  
Light Pattern ◽  
Single Frame

Stereo vision with image‐guided structured‐light pattern matching

2015 ◽  
Vol 51 (3) ◽  
pp. 238-239 ◽  
Author(s):  
Min‐Gyu Park ◽  
Jonghee Park ◽  
Yongho Shin ◽  
Eul‐Gyoon Lim ◽  
Kuk‐Jin Yoon
Keyword(s):  
Pattern Matching ◽  
Stereo Vision ◽  
Structured Light ◽  
Image Guided ◽  
Light Pattern

Real-time 3D shape inspection system of automotive parts based on structured light pattern

2011 ◽  
Vol 43 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Jing Xu ◽  
Ning Xi ◽  
Chi Zhang ◽  
Quan Shi ◽  
John Gregory
Keyword(s):  
Real Time ◽  
Structured Light ◽  
Inspection System ◽  
3D Shape ◽  
Light Pattern ◽  
Automotive Parts ◽  
Shape Inspection

An absolute phase technique for 3D profile measurement using four-step structured light pattern

2012 ◽  
Vol 50 (9) ◽  
pp. 1274-1280 ◽  
Author(s):  
Jing Xu ◽  
Shaoli Liu ◽  
An Wan ◽  
Bingtuan Gao ◽  
Qiang Yi ◽  
...  
Keyword(s):  
Structured Light ◽  
Profile Measurement ◽  
Light Pattern ◽  
Absolute Phase ◽  
3D Profile

scholarly journals One-Shot M-Array Pattern Based on Coded Structured Light for Three-Dimensional Object Reconstruction

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Xiaojun Jia ◽  
Zihao Liu
Keyword(s):  
Structured Light ◽  
Three Dimensional ◽  
Training Dataset ◽  
3D Objects ◽  
Light Pattern ◽  
Array Pattern ◽  
Key Points ◽  
Deep Convolution Neural Network ◽  
Chain Sequence ◽  
Dimensional Object

Pattern encoding and decoding are two challenging problems in a three-dimensional (3D) reconstruction system using coded structured light (CSL). In this paper, a one-shot pattern is designed as an M-array with eight embedded geometric shapes, in which each 2 × 2 subwindow appears only once. A robust pattern decoding method for reconstructing objects from a one-shot pattern is then proposed. The decoding approach relies on the robust pattern element tracking algorithm (PETA) and generic features of pattern elements to segment and cluster the projected structured light pattern from a single captured image. A deep convolution neural network (DCNN) and chain sequence features are used to accurately classify pattern elements and key points (KPs), respectively. Meanwhile, a training dataset is established, which contains many pattern elements with various blur levels and distortions. Experimental results show that the proposed approach can be used to reconstruct 3D objects.

Robust Structured Light Pattern for Use with a Spatial Light Modulator in 3-D Endoscopy

2013 ◽  
Vol 7 (2) ◽  
pp. 105-121 ◽  
Author(s):  
Benjamin Mertens ◽  
Benjamin De Leener ◽  
Olivier Debeir ◽  
Charles Beumier ◽  
Pierre Lambert ◽  
...  
Keyword(s):  
Spatial Light Modulator ◽  
Structured Light ◽  
Light Modulator ◽  
Light Pattern
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