US 11,869,220 B2
Scaling of quantization parameter values in geometry-based point cloud compression (G-PCC)
Adarsh Krishnan Ramasubramonian, Irvine, CA (US); Bappaditya Ray, San Diego, CA (US); Geert Van der Auwera, Del Mar, CA (US); Louis Joseph Kerofsky, 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 Oct. 1, 2021, as Appl. No. 17/492,095.
Claims priority of provisional application 63/087,805, filed on Oct. 5, 2020.
Prior Publication US 2022/0108486 A1, Apr. 7, 2022
Int. Cl. G06T 9/00 (2006.01); G06T 9/40 (2006.01)
CPC G06T 9/001 (2013.01) [G06T 9/40 (2013.01)] 28 Claims
OG exemplary drawing
 
1. An apparatus configured to decode a point cloud, the apparatus comprising:
a memory configured to store encoded point cloud data; and
one or more processors implemented in circuitry and in communication with the memory, the one or more processors configured to:
receive the encoded point cloud data;
determine a final quantization parameter (QP) value for the point cloud data as a function of a node QP offset multiplied by a geometry QP multiplier; and
decode the encoded point cloud data using the final QP value to create a decoded point cloud.