公开(公告)号：US11049266B2

公开(公告)日：2021-06-29

申请号：US16050468

申请日：2018-07-31

Applicant: Intel Corporation

Inventor： Scott Janus ,  Barnan Das ,  Hugues Labbe ,  Jong Dae Oh ,  Gokcen Cilingir ,  James Holland ,  Narayan Biswal ,  Yi-Jen Chiu ,  Qian Xu ,  Mayuresh Varerkar ,  Sang-Hee Lee ,  Stanley Baran ,  Srikanth Potluri ,  Jason Ross ,  Maruthi Sandeep Maddipatla

IPC: G06T7/262 ,  H04N19/436 ,  G06T3/40 ,  G06T15/08 ,  G06T17/00 ,  G06T7/30

Abstract: An apparatus comprises a processor to divide a first point cloud data set frame representing a three dimensional space at a first point in time into a matrix of blocks, determine at least one three dimensional (3D) motion vector for at least a subset of blocks in the matrix of blocks, generate a predicted second point cloud data set frame representing a prediction of the three dimensional space at a second point in time by applying the at least one 3D motion vector to the subset of blocks in the matrix of blocks, compare the predicted second point cloud data set frame to a second point cloud data set frame representing a prediction of the three dimensional space at a second point in time to generate a prediction error parameter, and encode the second point cloud data set frame as a function of the first point cloud data set frame and the at least one three dimensional (3D) motion vector when the prediction error factor is beneath an error threshold to produce an encoded second point cloud data set frame.

公开(公告)号：US20200043182A1

公开(公告)日：2020-02-06

申请号：US16050468

申请日：2018-07-31

Applicant: Intel Corporation

Inventor： Scott Janus ,  Barnan Das ,  Hugues Labbe ,  Jong Dae Oh ,  Gokcen Cilingir ,  James Holland ,  Narayan Biswal ,  Yi-Jen Chiu ,  Qian Xu ,  Mayuresh Varerkar ,  Sang-Hee Lee ,  Stanley Baran ,  Srikanth Potluri ,  Jason Ross ,  Maruthi Sandeep Maddipatla

IPC: G06T7/262 ,  G06T3/40 ,  G06T7/30 ,  G06T15/08 ,  G06T17/00

Abstract: Embodiments described herein provide an apparatus comprising a processor to divide a first point cloud data set frame representing a three dimensional space at a first point in time into a matrix of blocks, determine at least one three dimensional (3D) motion vector for at least a subset of blocks in the matrix of blocks, generate a predicted second point cloud data set frame representing a prediction of the three dimensional space at a second point in time by applying the at least one 3D motion vector to the subset of blocks in the matrix of blocks, compare the predicted second point cloud data set frame to a second point cloud data set frame representing a prediction of the three dimensional space at a second point in time to generate a prediction error parameter, and encode the second point cloud data set frame as a function of the first point cloud data set frame and the at least one three dimensional (3D) motion vector when the prediction error factor is beneath an error threshold to produce an encoded second point cloud data set frame. Other embodiments may be described and claimed.