公开(公告)号：US20190147302A1

公开(公告)日：2019-05-16

申请号：US15986267

申请日：2018-05-22

Applicant: NVIDIA Corp.

Inventor： Varun Jampani ,  Hang Su ,  Deqing Sun ,  Ming-Hsuan Yang ,  Jan Kautz

IPC: G06K9/66 ,  G06T7/521 ,  G06K9/62 ,  G06N3/04

Abstract: A method includes filtering a point cloud transformation of a 3D object to generate a 3D lattice and processing the 3D lattice through a series of bilateral convolution networks (BCL), each BCL in the series having a lower lattice feature scale than a preceding BCL in the series. The output of each BCL in the series is concatentated to generate an intermediate 3D lattice. Further filtering of the intermediate 3D lattice generates a first prediction of features of the 3D object.

公开(公告)号：US11636668B2

公开(公告)日：2023-04-25

申请号：US15986267

申请日：2018-05-22

Applicant: NVIDIA Corp.

Inventor： Varun Jampani ,  Hang Su ,  Deqing Sun ,  Ming-Hsuan Yang ,  Jan Kautz

IPC: G06V10/82 ,  G06N3/04 ,  G06T7/521 ,  G06V20/64 ,  G06V30/19 ,  G06N3/08 ,  G06T7/11 ,  G06T7/174 ,  G06F18/2415 ,  G06F18/2413

Abstract: A method includes filtering a point cloud transformation of a 3D object to generate a 3D lattice and processing the 3D lattice through a series of bilateral convolution networks (BCL), each BCL in the series having a lower lattice feature scale than a preceding BCL in the series. The output of each BCL in the series is concatenated to generate an intermediate 3D lattice. Further filtering of the intermediate 3D lattice generates a first prediction of features of the 3D object.