Alexandru Razvant

GFPNet: A Deep Network for Learning Shape Completion in Generic Fitted Primitives

In this letter, we propose an object reconstruction apparatus that uses the so-called Generic Primitives (GP) to complete shapes. A GP is a 3D point cloud depicting a generalized shape of a class of objects. To reconstruct the objects in a scene we first fit a GP onto each occluded object to obtain