scholarly journals Underwater 3D Surface Measurement Using Fringe Projection Based Scanning Devices

Sensors ◽  
2015 ◽  
Vol 16 (1) ◽  
pp. 13 ◽  
Author(s):  
Christian Bräuer-Burchardt ◽  
Matthias Heinze ◽  
Ingo Schmidt ◽  
Peter Kühmstedt ◽  
Gunther Notni
Keyword(s):  
Fringe Projection ◽  
Surface Measurement ◽  
3D Surface

High-speed 3D surface measurement with a fringe projection based optical sensor

2014 ◽  
Author(s):  
Christian Bräuer-Burchardt ◽  
Stefan Heist ◽  
Peter Kühmstedt ◽  
Gunther Notni
Keyword(s):  
Optical Sensor ◽  
High Speed ◽  
Fringe Projection ◽  
Surface Measurement ◽  
3D Surface

scholarly journals Snapshot phase shift fringe projection 3D surface measurement

2015 ◽  
Vol 23 (2) ◽  
pp. 667 ◽  
Author(s):  
Zhenyue Chen ◽  
Xia Wang ◽  
Rongguang Liang
Keyword(s):  
Phase Shift ◽  
Fringe Projection ◽  
Surface Measurement ◽  
3D Surface

scholarly journals Data-Driven Intelligent 3D Surface Measurement in Smart Manufacturing: Review and Outlook

Machines ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 13
Author(s):  
Yuhang Yang ◽  
Zhiqiao Dong ◽  
Yuquan Meng ◽  
Chenhui Shao
Keyword(s):  
High Resolution ◽  
High Performance ◽  
Sampling Design ◽  
Three Dimensional ◽  
Measurement Data ◽  
Data Driven ◽  
Surface Measurement ◽  
Smart Manufacturing ◽  
Future Research ◽  
3D Surface

High-fidelity characterization and effective monitoring of spatial and spatiotemporal processes are crucial for high-performance quality control of many manufacturing processes and systems in the era of smart manufacturing. Although the recent development in measurement technologies has made it possible to acquire high-resolution three-dimensional (3D) surface measurement data, it is generally expensive and time-consuming to use such technologies in real-world production settings. Data-driven approaches that stem from statistics and machine learning can potentially enable intelligent, cost-effective surface measurement and thus allow manufacturers to use high-resolution surface data for better decision-making without introducing substantial production cost induced by data acquisition. Among these methods, spatial and spatiotemporal interpolation techniques can draw inferences about unmeasured locations on a surface using the measurement of other locations, thus decreasing the measurement cost and time. However, interpolation methods are very sensitive to the availability of measurement data, and their performances largely depend on the measurement scheme or the sampling design, i.e., how to allocate measurement efforts. As such, sampling design is considered to be another important field that enables intelligent surface measurement. This paper reviews and summarizes the state-of-the-art research in interpolation and sampling design for surface measurement in varied manufacturing applications. Research gaps and future research directions are also identified and can serve as a fundamental guideline to industrial practitioners and researchers for future studies in these areas.

The Research of Error Compensation for the 3D Surface Measurement

2012 ◽  
Vol 482-484 ◽  
pp. 2192-2196
Author(s):  
Yuan Tian ◽  
Zi Ma ◽  
Peng Li
Keyword(s):  
Measurement Error ◽  
Fuzzy Inference System ◽  
Error Compensation ◽  
Point Cloud ◽  
Fuzzy Inference ◽  
Surface Measurement ◽  
Anfis Model ◽  
Inference System ◽  
Surface Error ◽  
3D Surface

For improving precision of 3D surface measurement equipments, which are playing important role in reverse engineering, the Adaptive Network based Fuzzy Inference System (ANFIS) is developed to reconstruct 3D surface error, and the measurement error of point cloud is compensated by the presented 3D error ANFIS model. The precision of 3D surface measurement equipments has been improved noticeably

3D Surface Measurement and Analysis of Works of Art

2019 ◽  
Author(s):  
Bingjie Xu ◽  
Florian Willomitzer ◽  
Chia-Kai Yeh ◽  
Fengqiang Li ◽  
Vikas Gupta ◽  
...  
Keyword(s):  
Surface Measurement ◽  
3D Surface ◽  
Works Of Art ◽  
Measurement And Analysis

New method to improve range and precision on 3D surface measurement

2003 ◽  
Author(s):  
Wenjing Chen ◽  
Xianyu Su ◽  
Yiping Cao ◽  
Liqun Xiang ◽  
Qican Zhang
Keyword(s):  
New Method ◽  
Surface Measurement ◽  
3D Surface
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