Exact(29)
(a) The feature point on fourth pyramid level for the first image.
Figure 3(b) is the second image itself (first pyramid level).
(b) The feature point on first pyramid level for the second image.
For example, the final matching result for image pair Bark falls into the group-to-group matching between the third pyramid level of the first image and the first pyramid level of the second image.
Let, be a feature point at the m th pyramid level in the first image with dominant orientation, and let ) be a feature point at the n th pyramid level in the second image with dominant orientation.
For example, let,,, and be the numbers of features detected by MOCC for each pyramid level in the first image, and let,,, be the numbers of features detected by MOCC for each pyramid level in the second image.
Similar(31)
There are 220 and 1500 feature points detected in the two pyramid levels, respectively.
In the presented work, we use three levels to construct pyramid levels as shown in Fig. 2.
The second column of Table 1 gives the number of feature points in the corresponding pyramid levels.
The black dots labeled with numbers represent the feature point groups of different pyramid levels in the two images.
The ratio between the image outputs of the two consecutive levels determines the scale of the pyramid levels with respect to the original image.
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