Sentence examples for matched image points from inspiring English sources

All of the reliable matched image points from epipolar image pair are used to compute y-parallax.

As a result, matched image points corresponding to point features in a rectified image pair will lie on the same horizontal scanline and differ only in horizontal displacement.

These two points are 1) matching image noise (voxel variance) which was expected to enhance signal and 2) matching signal (SUVmax) which, based on previous studies [39],[41], was anticipated to require greater levels of post-filtering and hence reduce image noise.

If the EMBC are used, the situation becomes different since the function values in the points approaching the boundary of the nanostructure should match those in the image points, making the boundary to correspond to the extremes of the Bessel function (which was strictly proved for the spherical quantum dots (QDs) [10]).

The image points matching method, external station orientation method and bundle adjustment algorithm, which are based on orientation angles of image points, are studied.

During the Implementation stage, we only need to set up dmax registers to keep track of the best match and corresponding matching cost for right image points in the range of interval.

In addition, to improve efficiency, we also propose a two-phase search strategy in image feature matching: the bag-of-features model (BOF) is adopted in a coarse search to narrow search scope and then the SIFT descriptor is used in exact matching to pick reconstruction image points.

In all of these fields, detecting features in each image and matching those features to find coincident image points are needed.

UR-SIFT is able to find matched points in image pairs with a scaling factor of 5 [46].

Each descriptor of the left image points is compared to the list of descriptors of the right image points and matched to the most similar one.

Figure 13 (right) shows the 53rd stereo image with the matched feature points.