The phrase "alignment performance" is correct and usable in written English.
It can be used in contexts related to evaluating how well different elements or systems are aligned with each other, particularly in fields like business, engineering, or technology.
Example: "The alignment performance of our new software integration has exceeded our expectations, leading to improved efficiency across departments."
Alternatives: "alignment efficiency" or "alignment effectiveness".
Verification of icoshift alignment performance was performed using the Wine H NMR data set available from the University of Copenhagen.
Sports teams' use of analytics has much to teach other managers about alignment, performance improvement and business ecosystems.
By this way, it can not only skip the complex model of flexure angle, but also improve the alignment performance.
Relative sensors alignment, performance of the navigation unit, and cross-sensor cueing are found to be key factors to fully exploit the potential of multi-sensor architectures.
The program can also be used, in the design phase of a detector, to simulate the expected alignment performance of a network of sensors with given resolutions.
In single patterning, the increase of odd order diffractive power and decrease of even order diffractive power may improve the wafer alignment performance.
As we can see, in the range, the alignment performances are relatively stable.
Precisely, the alignment performances must be evaluated on the localization of several points around the eyes, eyebrows, and mouth and not only on their gravity centers.
In order to compare each new building block of our pipeline in Section "Comparative tests", as well as to evaluate both the pairwise and multi-view alignment performances in Section "Experimental results", we consider a number of meaningful datasets that we acquired with a commercial high-resolution structured-light scanner (1280×1024 pixel CCD, i.e. potential 1.3M points/RI).
In conclusion, considering the results of Table 1 as well as the average execution times, we can conclude that both our technique as well as PROSAC obtained the best alignment performances, while our approach is almost 3 times faster than PROSAC, given the inlier distribution rates of the test datasets.
The method using neural networks is benefited by the increased alignment performances of a new alignment strategy.
