Sentence examples for motion estimates are from inspiring English sources

The motion estimates are computed in a sound probabilistic framework by performing inference on a probabilistic graphical model.

Our focus is on minimizing spatial blurring, restricting to temporal filtering when motion estimates are reliable, and spatially shrinking only insignificant coefficients when the motion is unreliable.

Regions without motion estimates are classified as occlusion regions.

In comparison, traditional accounts assume that motion estimates are based on sensory signals alone.

After optimization, the motion estimates are used to construct registered and motion corrected volumes.

The apparent non-linear nature of the vertical motion, coupled with long-period GPS errors, implies that the quality of the seafloor motion estimates is not uniform over the 20-yr period.

Head motion estimates were derived from the MR data and used to correct the PET data in LOR space before image reconstruction [1].

By implementing the proposed validation method, our SR approach was able to show robust HR image reconstruction results, even when the motion estimates were not accurate at the sub-pixel level.

Rotational and translational head motion estimates were calculated, and images were corrected by aligning each volume in the time series to the volume obtained in the middle of the acquisition.

Finally the horizontal and vertical components of the subpixel accurate motion estimate are obtained by computing the location of the maxima of each of the above fitted quadratics.

The image motion estimate is then.