US 12,217,463 B2
Adaptable and hierarchical point cloud compression
Allen R. Hainline, Waltham, MA (US)
Assigned to Raytheon Company, Arlington, VA (US)
Filed by Raytheon Company, Arlington, VA (US)
Filed on Jun. 30, 2022, as Appl. No. 17/854,842.
Prior Publication US 2024/0005559 A1, Jan. 4, 2024
Int. Cl. G06T 9/00 (2006.01); G06T 3/40 (2024.01); G06T 5/70 (2024.01)
CPC G06T 9/00 (2013.01) [G06T 3/40 (2013.01); G06T 5/70 (2024.01); G06T 2207/10028 (2013.01); G06T 2207/20021 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for compressing a point cloud, the system comprising:
one or more computing device processors; and
one or more computing device memories, coupled to the one or more computing device processors, the one or more computing device memories storing instructions executed by the one or more computing device processors, wherein the instructions are configured to:
receive point cloud data;
quantize the point cloud data to remove noise producing quantized point cloud data;
generate, using the quantized point cloud data, a plurality of multi-level tiles;
perform reordering of the multi-level tiles to optimize a compression rate producing a plurality of reordered multi-level tiles;
bit pack the reordered multi-level tiles minimizing bits required to store per tile header data producing a bit packed multi-level tile data; and
perform additional compression on the bit-packed multi-level tile data using a first compression algorithm.