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This reduces the number of orientation planes that must be checked for corners and endpoints detection.
The 'levels' represents decomposition levels and the corresponding number of orientation for each level.
Figure 9 Classification accuracy as a function of the number of orientation bins, n.
The results show that the number of orientation errors decreased and that participants felt more confident during their walk.
As for the number of orientation bins, a different behavior is observed for the frontal and the sides views.
Analogously, Figure 9. illustrates the average accuracy results as a function of the number of orientation bins, n.
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∑ is the number of orientations at which speed is evaluated.
S is the total number of scales and T is the total number of orientations.
An efficient algorithm approximates the integrals with sums over a finite number of orientations.
which counts the number of orientations that fall within a bin.
Resource consumption is closely related to the number of orientations to consider, which is denoted by n θ s orientations in Figure 2.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
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