Sentence examples for best matching point from inspiring English sources

The best matching point is determined by calculating the result.

To determine the following search step according to whether the current best matching point is positioned at the center of search range, a new search pattern is devised to detect the potentially optimal search points in the initial search stage.

Besides, to meet the Level C data reuse requirement, such a design also needs a larger search range (SR) to cover the possible best matching point due to the (0, 0) search center [12], which implies a waste of data BW compared to methods with a search center at the motion vector (MV) predictor (MVP).

If after search, the MME point is still the search center, then stop searching and obtain the final motion vector for the candidate block corresponding to the final best matching point identified in this step.

In [14], most of best matching points are around the MVP, which can cover over 90% of the best matching points within ± 8 SR.

With £793,000 from the Friday-Sunday period, and £834,000 including previews, this compares with previous best Match Point's £752,000 debut.

Based on the existing map-matching algorithm geometry, it shows that if the distance between the candidate points and the locus of points are closer, the greater the likelihood of the candidate point is the best match point.

Furthermore, a group of three search patterns [13] is selectively used for different directional movements, such as the horizontal or vertical directions, depending on the position of the best match point.

In a related study [15], instead of finding the best match by considering all search positions within a search range, the best match point is found by solving a predictive model yielded by five fixed positions in the current search area.

( q ̃ i, q ̃ j ) is the best matched point pair of (p i, p j ) with the best similarity score in Equation 3. Notice that if no approximate congruent match ( q ̃ i, q ̃ j ) is found, we set the probability value to zero, i.e., S p (p i, p j ) = 0.

Figure 1b presents an illustration of the diamond search with the stride ranging from 1 to 3. The variable "uiBestDistance" stores the distance between the best match point (the current position that gives the lowest MV cost of the current PU) and the current search center.