Sentence examples for matched interest points from inspiring English sources

From the matched interest points, motion parameters between the current and the reference frame can be estimated.

As mentioned in the latter section, there are several techniques for detecting and matching interest points.

To match interest points in different images, at first step, a model that describes the similarity between the points of each image is used [27].

However, our process of matching interest points is based on the RANSAC algorithm and the gray level difference between consecutive frames as cost function.

Once more, the RANSAC-based process of matching interest point is not only referenced to moving objects but to the whole image.

Robustness in our algorithm directly depends on the correct matching of interest points in consecutive frames.

The second part of the motion estimation process is interest points matching across consecutive frames.

The extracted interest points from each sequence are then matched pairwise using Hungarian method with shape context features incorporated.

For cross-section matching, the appropriate interest point detector needs covariance to rotation as well as an automatism to detect only structures that appear similar, since two adjacent tiles show different portions of the tissue and are related by a rigid transformation and some plastic deformation.

The thrust of the mosaicking methods, in general, is either on the interest point matching or on theoretical corner models.

Once the vector descriptors are obtained, the interest point matching process is based on minimum Euclidian distance in the 64-dimensional feature space.