High-precision and Arbitrary Arranged Projection Moiré System Based on an Iterative Calculation Model and the Self-calibration Method

Cai, Tianyu; Sun, Chen; Chen, J.

doi:10.1007/s11340-021-00706-9

Cited by 3 publications

(3 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to equation (20), we can directly calculate the local topography of view 2 in the global coordinate system. This scanning method allows the local topography obtained under each measuring system to be conveniently unified into the same global coordinate system to realize the whole-field measurement.…”

Section: Scanning Methodsmentioning

confidence: 99%

“…In order to establish the virtual moiré model, we first need to determine the imaging model of the entire measurement method. In general, the pinhole camera model considering distortion is used to describe the imaging process from the physical points in the world coordinate system to the pixel coordinates of the projector and macro camera in the reception system [20]. As shown in figure 1(a), the three dashed boxes represent different systems.…”

Section: Imaging Modelmentioning

confidence: 99%

“…This setup creates many complicated problems. To begin with, this introduces the system error that the reference plane does not coincide with the zero-height plane of the checkerboard [20] and the moving direction of the plate does not coincide with its normal vector. Then, moving the reference plane increases the experimental complexity, especially when the measuring depth of field increases.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

High-precision projection moiré measurement method based on virtual reality bridging

Cai¹,

Gong²,

Sun³

et al. 2023

Meas. Sci. Technol.

Self Cite

View full text Add to dashboard Cite

The projection moiré method is a high-precision optical topography measurement method. The existing moiré models calibrate the phase-height mapping relationship by setting and moving the reference plane, which introduces many system errors and reduces the usability and scanning scalability of the methods. This paper proposes a moiré model based on virtual reality bridging and the corresponding scanning method. First, we use the imaging parameters of the real moiré system and the derived moiré phase correspondence to build a virtual moiré model matching the real system. Then we use a variety of phase optimization algorithms to improve the coincidence between the virtual and the reality. In addition, we propose a method to calculate the pose between views to facilitate the reconstruction of the corresponding virtual moiré model during scanning measurement. Finally, we use the virtual moiré model and scanning method to conduct fixed position and scanning measurements. The results show that the proposed virtual moiré model has high accuracy and robustness, and the scanning method can achieve high-precision full-field 3D shape measurement.

show abstract

Section: Scanning Methodsmentioning

confidence: 99%

Section: Imaging Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

High-precision projection moiré measurement method based on virtual reality bridging

Cai¹,

Gong²,

Sun³

et al. 2023

Meas. Sci. Technol.

Self Cite

View full text Add to dashboard Cite

show abstract

Equivalent distortion imaging model-based calibration method for a projection moiré system using combined lenses

Gong,

Cai,

Sun

et al. 2024

Optics and Lasers in Engineering

View full text Add to dashboard Cite

Experimental Recognition of Plastic Domain in Contact Problem Based on Full Field Metrology and Neural Network

Huang

Sun

Chen

2023

Int. J. Appl. Mechanics

View full text Add to dashboard Cite

Contact usually results in stress concentration which can easily cause the yield of materials and structures. The classic elastic–plastic yield criterion needs to utilize stress or strain field for calculation. However, most advanced full-field measurement methods output the displacement as the original data, and the fitting from displacement to strain will induce error accumulation in applications. In this paper, a plastic domain characterization method is developed that can directly judge the elastic–plastic state of materials based on the full-field displacement and neural network. By establishing and training a three-layer-based neural network, the relationship between the displacement and the elastic/plastic stage of the sampling points is modeled. A physical model is formulated based on the yield criterion and embedded in the layer of the network, which can increase the convergence rate and accuracy. Only the displacements of the contact member are required in this method, which can be easily measured by the optical metrologies. The performances of the developed method are carefully discussed through simulated data and real-world tests. Results show that the method can accurately identify the plastic domain during the tests.

show abstract

High-precision and Arbitrary Arranged Projection Moiré System Based on an Iterative Calculation Model and the Self-calibration Method

Cited by 3 publications

References 34 publications

High-precision projection moiré measurement method based on virtual reality bridging

High-precision projection moiré measurement method based on virtual reality bridging

Equivalent distortion imaging model-based calibration method for a projection moiré system using combined lenses

Experimental Recognition of Plastic Domain in Contact Problem Based on Full Field Metrology and Neural Network

Contact Info

Product

Resources

About