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For cases involving a moving camera and for possible problems regarding the displacement of object borders and false displacement estimates, our proposed method provides appropriate solutions.
Simulation results are presented and compared to the optical flow and phase correlation algorithms; this approach provides more reliable displacement estimates particularly for complex noisy image sequences.
Based on this recalibration of the TRC-e-3, displacement estimates were analyzed to evaluate the stability of the common items' difficulty between the second and the third grade test forms.
On the other hand, the normalization (equalization) operation in the phase correlation technique enhances the noise power at high frequencies, and it produces incorrect displacement estimates on noisy image sequences.
Based on this recalibration of the TRC-n-3, displacement estimates were analyzed to evaluate the stability of the common items' difficulty between the second and the third grade test forms.
Strain estimates in the localized zones from such an approach will be inaccurate; however, the overall displacement estimates (the primary parameter of interest in the present collapse simulations) are reliable.
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The reason is that the displacement estimated by MEM must be modeled as a polynomial, which restricts the estimation accuracy.
However, the displacement estimated at this point is inaccurate.
The gray arrow indicates the static displacement estimated from our source model.
Here, the third term in (16) shows the soft material displacement estimated from the linear approximation.
The RMS displacement estimate associated with such a damping parameter is compared to the monitored displacement data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com