Modal Parameter Estimation of a Compliant Panel Using Phase-based Motion Magnification and Stereoscopic Digital Image Correlation

Eitner, Marc A.; Musta, Mastafa Nail; Vanstone, Leon; Sirohi, Jayant; Clemens, Noel T.

doi:10.1007/s40799-020-00393-6

Cited by 17 publications

(6 citation statements)

References 17 publications

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“…Grayscale photos of M × N size, all grayscale values are z i , i = 0, 1, 2, ⋯, L − 1. The probability of gray level z k in this photo [24]:…”

Section: Digital Image Correlationmentioning

confidence: 99%

Analysis of Athletes’ Training Characteristics Based on Action Statistics of Image Processing

2022

Wireless Communications and Mobile Computing

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Sports and physical exercise are so closely related that they cannot be described separately. The standardization of physical movements requires athletes to constantly improve their planning. Only when they approach the standard, the improvement of sports level is just around the corner. However, the traditional training standard method is limited by human factors and backward technology, and there are many drawbacks, and athletes’ training cannot reach the best state. In this paper, image deblurring is processed to get the reconstruction model of high-resolution image. Through the experiment on the statistics of the competition, the movement of transfer, out of bounds and arm holding in the standing stage, and the movement of rolling bridge and lifting and holding in the kneeling stage are predicted and prevented. For 55 kg, the key to win is the rolling bridge and lifting action; 60 kg attaches importance to the importance of tactical defense. These two lightweight competitions focus on comprehensive training, while the 120 kg heavyweight competition is more in pursuit of strength. Finally, the experiment runs well, and the data and effect can meet the design goal of this paper. The specific details of the optimization and improvement need to be improved in the next step.

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“…Grayscale photos of M × N size, all grayscale values are z i , i = 0, 1, 2, ⋯, L − 1. The probability of gray level z k in this photo [24]:…”

Section: Digital Image Correlationmentioning

confidence: 99%

Analysis of Athletes’ Training Characteristics Based on Action Statistics of Image Processing

2022

Wireless Communications and Mobile Computing

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show abstract

“…Precise calculation of subtle motions using VMM involves magnifying motions by adjusting video frames according to the speed vector for observation. Recognized as a significant scientific achievement impacting human lives, VMM was acknowledged by the American magazine "Science" in 2013 and has since been extensively explored for its wideranging applications [9][10][11][12][13]. The phase-based VMM, rooted in steerable pyramid motion analysis, achieves the magnification of subtle motions through temporal filtering and phase magnification in pyramids.…”

Section: Vmm Methodsmentioning

confidence: 99%

Improved video motion magnification method assisted by digital image correlation

Ding,

Tian,

Wang

2024

International Conference on Optical and Photonic Engineering (icOPEN 2023)

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“…Unfortunately, the PMM demonstrations on complex large-scale structures are scarce. In [43], PMM was performed on the displacement shapes of a compliant polycarbonate composite panel. The SNR of the estimated shapes improved thus also improving a correlation (0.99 instead of 0.29) with the numerically calculated ones.…”

Section: Modal Analysismentioning

confidence: 99%

Review of digital image correlation application to large-scale composite structure testing

Janeliukštis

Xiao

2021

Composite Structures

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Modal Parameter Estimation of a Compliant Panel Using Phase-based Motion Magnification and Stereoscopic Digital Image Correlation

Cited by 17 publications

References 17 publications

Analysis of Athletes’ Training Characteristics Based on Action Statistics of Image Processing

Analysis of Athletes’ Training Characteristics Based on Action Statistics of Image Processing

Improved video motion magnification method assisted by digital image correlation

Review of digital image correlation application to large-scale composite structure testing

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