US 12,118,758 B2
Planar and azimuthal mode in geometric point cloud compression
Geert Van der Auwera, Del Mar, CA (US); Bappaditya Ray, San Diego, CA (US); Adarsh Krishnan Ramasubramonian, Irvine, 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 Jun. 17, 2021, as Appl. No. 17/350,603.
Claims priority of provisional application 63/046,512, filed on Jun. 30, 2020.
Claims priority of provisional application 63/042,432, filed on Jun. 22, 2020.
Prior Publication US 2021/0407143 A1, Dec. 30, 2021
Int. Cl. G06T 17/20 (2006.01); G01S 17/89 (2020.01); G06T 9/00 (2006.01)
CPC G06T 9/001 (2013.01) [G01S 17/89 (2013.01); G06T 17/20 (2013.01)] 29 Claims
OG exemplary drawing
 
1. A device for encoding point cloud data, the device comprising:
a memory to store the point cloud data; and
one or more processors coupled to the memory and implemented in circuitry, the one or more processors configured to:
determine that occupied child nodes of a node form a single plane perpendicular to a first axis of a coordinate system, wherein the first axis is a horizontal axis and the occupied child nodes contain points represented by the point cloud data;
determine a horizontal plane position of the node, wherein the horizontal plane position indicates a position of the single plane that is perpendicular to the first axis of the coordinate system;
determine, from a plurality of contexts consisting of 8 contexts, a context for the horizontal plane position of the node; and
perform arithmetic encoding on a syntax element indicating the horizontal plane position using the determined context.