Sentence examples for motion estimator in from inspiring English sources

This section considers computational signatures that clash harshly with our usual intuition for visual motion estimation, and we need to unpack how the motion estimator in Figure 4 figure supplement 2 works before we can understand why it works.

We thus always report the performance of each motion estimator in terms of the correlation coefficient between the true and estimated velocity.

Our characterization of visual motion estimation in terms of correlation functions provides an interesting perspective on the computational problem faced by Drosophila's visual motion estimator in natural environments.

More generally, this equation rewrites the mean squared error of any optimally scaled motion estimator in terms of its correlation coefficient with the velocity.

Because multipoint correlators relate intuitively to measurable properties of the image ensemble, we will find that decomposing a motion estimator in terms of multipoint correlators is often illuminating.

An architecture for the ACQPPS motion estimator is shown in Figure 4.

This feature is especially useful when motion estimator is integrated in the  system.

10.7554/eLife.09123.010 Figure 4. Several biologically motivated generalizations of the motion estimator further improved estimation performance without sacrificing glider responses.

All motion estimators considered in this paper are optimally scaled, and we find the correlation coefficient to be more intuitive than the mean squared error.

We built the alternate motion estimators considered in this work from the same four filtered signals, { (f ∗ V 1 ),   (g ∗ V 1 ),   (f ∗ V 2 ),   (g ∗ V 2 ) }, always considering the estimator's output at the final time point as its velocity estimate.

The throughput ability of ACQPPS architecture can be compared with those of a variety of other recently developed motion estimator hardware architectures, as illustrated in Table 10.