scholarly journals High-accuracy 3D surface measurement using hybrid multi-frequency composite-pattern temporal phase unwrapping

2020 ◽  
Vol 28 (26) ◽  
pp. 39165
Author(s):  
Yingying Wan ◽  
Yiping Cao ◽  
Jonathan Kofman
Keyword(s):  
High Accuracy ◽  
Phase Unwrapping ◽  
Surface Measurement ◽  
Composite Pattern ◽  
Temporal Phase ◽  
3D Surface

scholarly journals An Error-Reduction Method for Temporal Phase Unwrapping Based on Double Three-Step Phase-Shifting and Least-Squares Fitting

2012 ◽  
Vol 6-7 ◽  
pp. 76-81
Author(s):  
Yong Liu ◽  
Ding Fa Huang ◽  
Yong Jiang
Keyword(s):  
Least Squares ◽  
Reduction Method ◽  
Intermediate Phase ◽  
Error Reduction ◽  
Phase Unwrapping ◽  
Phase Shifting ◽  
Surface Measurement ◽  
Acquisition Time ◽  
Least Squares Fitting ◽  
Temporal Phase

Phase-shifting interferometry on structured light projection is widely used in 3-D surface measurement. An investigation shows that least-squares fitting can significantly decrease random error by incorporating data from the intermediate phase values, but it cannot completely eliminate nonlinear error. This paper proposes an error-reduction method based on double three-step phase-shifting algorithm and least-squares fitting, and applies it on the temporal phase unwrapping algorithm using three-frequency heterodyne principle. Theoretical analyses and experiment results show that this method can greatly save data acquisition time and improve the precision.

scholarly journals High-speed and high-accuracy 3D surface measurement using a mechanical projector

2018 ◽  
Vol 26 (2) ◽  
pp. 1474 ◽  
Author(s):  
Jae-Sang Hyun ◽  
George T.-C. Chiu ◽  
Song Zhang
Keyword(s):  
High Speed ◽  
High Accuracy ◽  
Surface Measurement ◽  
3D Surface

Beyond phase error compensation: pixel mapping-based error correction for high-accuracy 3D surface measurement

2020 ◽  
Vol 31 (6) ◽  
pp. 065007
Author(s):  
Zaixing He ◽  
Peilong Li ◽  
Xinyue Zhao ◽  
Shuyou Zhang ◽  
Jianrong Tan
Keyword(s):  
Error Correction ◽  
Error Compensation ◽  
Phase Error ◽  
High Accuracy ◽  
Surface Measurement ◽  
3D Surface ◽  
Pixel Mapping

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

Modified temporal-phase-unwrapping method for measuring in real time the out-of-plane displacements of the tympanic membrane of Mongolian Gerbil

Optik ◽  
2008 ◽  
Vol 119 (16) ◽  
pp. 783-787 ◽  
Author(s):  
R.A. Martínez-Celorio ◽  
Joris J.J. Dirckx ◽  
Jan A.N. Buytaert ◽  
Luis Martí-López ◽  
Wim Decraemer
Keyword(s):  
Tympanic Membrane ◽  
Real Time ◽  
Mongolian Gerbil ◽  
Phase Unwrapping ◽  
Temporal Phase ◽  
Out Of Plane
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