Patent ID: 11880959
Assignee: SOUTH CHINA UNIVERSITY OF TECHNOLOGY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 2:
3. The method of claim 1, wherein the determining an objective function according to the second number of sampling prediction points and the second number of dense input points comprises:
determining a reconstruction loss according to a distance between the second number of sampling prediction points and the second number of dense input points;
determining a curvature-aware loss according to a relationship between a curvature of a random point on a sampling prediction point cloud and an area of a neighborhood of the random point;
determining a smoothness loss according to a geometric relationship of the random point on the sampling prediction point cloud relative to a neighborhood of the random point on a dense input point cloud; and
determining the objective function according to the reconstruction loss, the curvature-aware loss and the smoothness loss;
wherein the sampling prediction point cloud consists of the second number of sampling prediction points, and the dense input point cloud consists of the second number of dense input points.