Patent ID: 11875546
Assignee: BEIHANG UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G  B | IPC B  G

Claim 10:
11. The perception network training method according to claim 10, wherein the generating the edited image according to the first visible area and the 3D model, comprises:
determining pose information of the moving component according to the moving component, wherein the pose information is a matrix formed by a motion state of the moving component in 6-degrees of freedom;
generating, with a projection model, a 3D point cloud of the first visible area according to the first visible area and the pose information;
determining a second visible area according to the 3D point cloud and the pose information, wherein the second visible area is a visible area of the moving component at a post-movement position; and
generating, with a filling algorithm, the edited image according to the second visible area and the 3D model.