US 11,967,120 B2
Attribute coding of duplicate points 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 Jul. 6, 2021, as Appl. No. 17/368,133.
Claims priority of provisional application 63/120,557, filed on Dec. 2, 2020.
Claims priority of provisional application 63/070,471, filed on Aug. 26, 2020.
Prior Publication US 2022/0067981 A1, Mar. 3, 2022
Int. Cl. G06T 9/00 (2006.01); H03M 7/30 (2006.01)
CPC G06T 9/001 (2013.01) [H03M 7/3071 (2013.01); H03M 7/3077 (2013.01); H03M 7/6005 (2013.01); H03M 7/6011 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method of decoding point clouds, executable by a processor, comprising:
receiving, from a bitstream, data corresponding to a point cloud;
determining a plurality of duplicate points corresponding to a geometry position,
wherein the plurality of duplicate points have a same geometry position but more than one attribute value, and
wherein the plurality of duplicate points are soiled according to attribute values of an attribute of the plurality of duplicate points;
reconstructing, based on the data, a first attribute value of a first duplicate point from among the plurality of duplicate points;
obtaining at least one prediction residual corresponding to at least one remaining attribute value of at least one remaining duplicate point from among the plurality of duplicate points;
reconstructing the at least one remaining attribute value based on the reconstructed first attribute and the at least one prediction residual; and
decoding the data corresponding to the point cloud based on the reconstructed first attribute value and the reconstructed at least one remaining attribute value.