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

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 Fast 3D Surface Measurement with Wrapped Phase and Pseudorandom Image

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4185 ◽  
Author(s):  
Liu ◽  
He ◽  
Hu ◽  
Liu
Keyword(s):  
High Speed ◽  
Image Acquisition ◽  
Three Dimensional ◽  
Experimental System ◽  
Surface Measurement ◽  
Image Method ◽  
Epipolar Constraint ◽  
Pattern Projection ◽  
3D Surface ◽  
Measurement Results

Balancing the accuracy and speed of three-dimensional (3D) surface measurement of objects is crucial in many important applications. In this paper, we present a wrapped phase and pseudorandom image method and develop an experimental system aiming to avoid the process of phase unwrapping. Our approach can reduce the length of image sequences and improve the speed of pattern projection and image acquisition and can be used as a good candidate for high-speed 3D measurement. The most critical step in our new methodology is using the wrapped phase and the epipolar constraint between one camera and a projector, which can obtain several candidate 3D points within the measurement volume (MV). The false points from the obtained candidate 3D points can be eliminated by the pseudorandom images. A systematic accuracy with MV better than 0.01 mm is achievable. 3D human body measurement results are given to confirm the fast speed of image acquisition capability.

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.

scholarly journals Multi-Touch Interaction Generation Device by Spatiotemporally Switching Electrodes

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1475
Author(s):  
Masahiro Okamoto ◽  
Kazuya Murao
Keyword(s):  
High Speed ◽  
High Accuracy ◽  
Conductive Ink ◽  
Control Board ◽  
Touch Panel ◽  
Electrode Size ◽  
Touch Input ◽  
Touch Interaction ◽  
Multiple Electrodes ◽  
Touch Panels

With the spread of devices equipped with touch panels, such as smartphones, tablets, and laptops, the opportunity for users to perform touch interaction has increased. In this paper, we constructed a device that generates multi-touch interactions to realize high-speed, continuous, or hands-free touch input on a touch panel. The proposed device consists of an electrode sheet printed with multiple electrodes using conductive ink and a voltage control board, and generates eight multi-touch interactions: tap, double-tap, long-press, press-and-tap, swipe, pinch-in, pinch-out, and rotation, by changing the capacitance of the touch panel in time and space. In preliminary experiments, we investigated the appropriate electrode size and spacing for generating multi-touch interactions, and then implemented the device. From the evaluation experiments, it was confirmed that the proposed device can generate multi-touch interactions with high accuracy. As a result, tap, press-and-tap, swipe, pinch-in, pinch-out, and rotation can be generated with a success rate of 100%. It was confirmed that all the multi-touch interactions evaluated by the proposed device could be generated with high accuracy and acceptable speed.

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

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