Jason P Ross

US Patent:

20200043182, Feb 6, 2020

Filed:

Jul 31, 2018

Appl. No.:

16/050468

Inventors:

- Santa Clara CA, US
Barnan Das - Newark CA, US
Hugues Labbe - Granite Bay CA, US
Jong Dae Oh - San Jose CA, US
Gokcen Cilingir - San Jose CA, US
James Holland - Folsom CA, US
Narayan Biswal - Folsom CA, US
Yi-Jen Chiu - San Jose CA, US
Qian Xu - Folsom CA, US
Mayuresh Varerkar - Folsom CA, US
Sang-Hee Lee - San Jose CA, US
Stanley Baran - Chandler AZ, US
Srikanth Potluri - Folsom CA, US
Jason Ross - Folsom CA, US
Maruthi Sandeep Maddipatla - Sacramento CA, US

Assignee:

Intel Corporation - Santa Clara CA

International Classification:

G06T 7/262
G06T 3/40
G06T 7/30
G06T 15/08
G06T 17/00

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.