US 11,682,144 B2
Techniques and apparatus for inter-channel prediction and transform for point-cloud attribute coding
Sehoon Yea, Palo Alto, CA (US); Stephan Wenger, Hillsborough, CA (US); and Shan Liu, San Jose, CA (US)
Assigned to TENCENT AMERICA LLC, Palo Alto, CA (US)
Filed by TENCENT AMERICA LLC, Palo Alto, CA (US)
Filed on Sep. 24, 2020, as Appl. No. 17/30,779.
Claims priority of provisional application 62/911,327, filed on Oct. 6, 2019.
Prior Publication US 2021/0104072 A1, Apr. 8, 2021
Int. Cl. G06T 9/00 (2006.01); G06T 3/40 (2006.01); G06T 19/20 (2011.01); H04N 19/597 (2014.01)
CPC G06T 9/00 (2013.01) [G06T 3/40 (2013.01); G06T 19/20 (2013.01); G06T 2210/56 (2013.01); G06T 2219/2012 (2013.01); H04N 19/597 (2014.11)] 20 Claims
OG exemplary drawing
 
1. A method for coding attribute information of a point cloud, the method performed by at least one processor and comprising:
obtaining the point cloud including a set of points in a three-dimensional space; and
coding the attribute information of at least one point of the point cloud using a YCoCg-R transform as a lossless inloop transform of prediction residuals of the at least one point and based on determining to use the lossless inloop transform of prediction residuals of the at least one point by a conditional check comprising at least one of:
determining whether a number of neighboring points to the at least one point experience any of reduced residual magnitude and reduced residual variance by application of the YCoCg-R transform as the lossless inloop transform of prediction residuals to ones of the neighboring points,
determining a maximum absolute difference in channel values of the neighboring points, and
determining interchannel correlation from the neighboring points.