Sentence examples for between two point sets from inspiring English sources

and the function is the directed HD between two point sets.

We first define two distance features for measuring global and local structural differences between two point sets, respectively.

Experiments are designed to evaluate a method׳s robustness to rotational changes between two point sets, positional noise, differences in density and partial overlap.

As explained before, large values of N (≥ 6) result in a low probability of successfully selecting N-points congruent sets between two point sets and in longer estimation times.

The TPS-RPM method[41, 42] incorporated TPS into the framework of iterative closest point (ICP) and adopted a soft-assign and deterministic annealing optimization to compute correspondence between two point sets.

We, thus, define a suitable matching score based on a normalized accumulated histogram ℋ n ( T, δ ) (see Figure 3c, d) corresponding to some given transformation T as follows: Figure 3 Histograms of points under two found transformations between two point sets resulting in the same LCP measure under the same distance threshold δ and their normalized accumulated histograms.

The positioning errors between the two point sets (DR and CT) are found to be approximately ≤0.1 mm, which is consistent with the validation of the derived setup geometry above.

In the following frames, the relative motion from the camera pose C−1 to C is computed using the robust estimation schema RANSAC [25] and a direct least squares solution between the two point sets (cf. [43]).

Our definition of the distance between two viruses is consistent with the mathematical distance definition of two point sets.

Without the assumption that critical point set between two level sets of energy functional is finite, this result actually generalizes Morse inequality.

The Iterative Closest Point (ICP) algorithm seeks to minimize the misalignment between two point cloud data sets.