US 12,322,143 B2
Performance improvement of geometry point cloud compression (GPCC) planar mode using inter prediction
Luong Pham Van, San Diego, CA (US); Geert Van der Auwera, Del Mar, CA (US); Adarsh Krishnan Ramasubramonian, Irvine, CA (US); Bappaditya Ray, San Diego, CA (US); and Marta Karczewicz, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Apr. 14, 2022, as Appl. No. 17/659,219.
Claims priority of provisional application 63/176,098, filed on Apr. 16, 2021.
Prior Publication US 2022/0351420 A1, Nov. 3, 2022
Int. Cl. G06T 9/00 (2006.01); G01S 17/89 (2020.01); G06T 17/00 (2006.01)
CPC G06T 9/001 (2013.01) [G01S 17/89 (2013.01); G06T 17/00 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A device for processing a point cloud, the device comprising:
a memory configured to store at least a portion of the point cloud; and
one or more processors implemented in circuitry and configured to:
obtain planar information of a reference node of the point cloud;
determine, based on the planar information of the reference node, a context;
context-adaptive code, based on the context, a syntax element that indicates whether a current node is coded using a planar mode;
determine an azimuthal context for the current node based on (a) a reference plane, and (b) an intermediate value used to derive azimuthal contexts;
determine, based on the azimuthal context, a plane for the current node; and
code, the current node being coded using the planar mode based on the plane.