Sentence examples for sparse points from inspiring English sources

In [17], Zhang et al. proposed estimating the depth information of sparse points to detect foreground objects.

For the far field, the deformation gradient threshold was set to 0.5 to obtain a set of relatively sparse points.

It describes the phenomenon that occurs in the wide open spaces of a reservoir among the sparse points of observation that is, wells.

However, such vertical movements have only been observed at sparse points by GNSS or leveling survey, and the detailed spatial characteristics of the deformation have been unknown.

The shape context feature was proposed by Belongie et al. [16] for shape matching two objects using the extracted sparse points on their boundaries.

Hence, the idea is that the trajectories followed by sparse points of the BG scene lie in a three-dimensional subspace, estimated through RANSAC, so allowing to highlight outlier trajectories as FG entities, and to produce a sparse pixel FG/BG labeling.

To do this they use a three-stage set of algorithms that begins by creating a "sparse point cloud" with a batch of photos, renders it as a denser image, capturing much of the original surface texture of the object, and then renders it in three dimensions.

Otherwise, it is called a sparse point (SP).

The performance of RANSAC-based structural modeling with sparse point clouds is first evaluated.

This unstable result often occurred with noisy and sparse point clouds from visual SLAM.

Using structure from motion, 3D reconstructions of given tracks are created and stored as sparse point clouds.