US 12,394,227 B2
Systems, methods, and media for semantic segmentation of a point cloud frame
Xinhai Li, Markham (CA); Yuan Ren, Thornhill (CA); Ran Cheng, Shanghai (CN); and Bingbing Liu, Beijing (CN)
Assigned to HUAWEI TECHNOLOGIES CO., LTD., Shenzhen (CN)
Filed by Xinhai Li, Markham (CA); Yuan Ren, Thornhill (CA); Ran Cheng, Shanghai (CN); and Bingbing Liu, Beijing (CN)
Filed on Sep. 14, 2022, as Appl. No. 17/944,936.
Claims priority of provisional application 63/244,216, filed on Sep. 14, 2021.
Prior Publication US 2023/0080574 A1, Mar. 16, 2023
Int. Cl. G06V 20/70 (2022.01); G06T 7/11 (2017.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01)
CPC G06V 20/70 (2022.01) [G06T 7/11 (2017.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for semantic segmentation of a point cloud frame, comprising:
receiving point cloud frames including a target point cloud frame;
for each sequence of a sliding set of sequences of point cloud frames, the sequence including the target point cloud frame, semantically segmenting each point cloud frame in the sequence of point cloud frames to apply semantic labels to points; and
determining a most prevalent semantic label for each point in the target point cloud frame across the sliding set of sequences of point cloud frames.