Sentence examples for between two feature points from inspiring English sources

For similarity measure between two feature points, we adopt the rotation invariant normalized cross-correlation.

The similarity measure decreases monotonically from 1 to 1 with the increase of the difference between two feature points.

Now we need to perform 123 multiplications, 120 additions, and 1 division to calculate the similarity measure between two feature points.

Any positive value in A ensures that the corresponding pairwise distance will be considered in the objective function, while setting an element to 0 excludes the distance between two feature points from the optimization process.

For all good matches, the difference between the dominant orientations of the two feature points should be almost equal.

While the real rotation angle between the two images is 59 degrees, the rotation angle between the dominant orientations of the two feature points is 70 degrees.

So even for good matches, the differences between the dominant orientations of the two feature points could not be of the same value.

Then, motion relations between the feature points and key points are established, 6-DoFs vibrational acceleration spectrums of the two feature points are analyzed, and 6-DoFs vibration transmissibility between them is calculated.

The normalized cross-correlation score between Figure 3 e) and Figure 3(f) is 0.939, which means that the two feature points are very similar under this similarity measure.

For two feature points, p and q, the feature array for each feature point is denoted as and, respectively.

The two feature points are correctly matched in our method.