US 11,816,869 B2
Updates on context modeling of occupancy coding for point cloud coding
Xiang Zhang, Mountain View, CA (US); Wen Gao, West Windsor, NJ (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 Jan. 12, 2023, as Appl. No. 18/153,413.
Application 18/153,413 is a continuation of application No. 17/231,695, filed on Apr. 15, 2021, granted, now 11,615,556.
Claims priority of provisional application 63/066,099, filed on Aug. 14, 2020.
Claims priority of provisional application 63/034,113, filed on Jun. 3, 2020.
Prior Publication US 2023/0143700 A1, May 11, 2023
Int. Cl. G06T 9/00 (2006.01); G06T 9/40 (2006.01)
CPC G06T 9/001 (2013.01) [G06T 9/40 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of decoding point cloud data, executable by a processor, comprising:
receiving data corresponding to a point cloud;
reducing a number of contexts associated with the received data based on (i) occupancy data corresponding to one or more parent nodes of the current node and one or more child nodes of the current node within the received data, and (ii) a positional relationship of the one or more parent nodes with respect to the current node; and
decoding the data corresponding to the point cloud based on the reduced number of contexts.