US 12,406,381 B2
Edge-based geometry representation for cross layer applications
Yan Deng, La Jolla, CA (US); Michel Adib Sarkis, San Diego, CA (US); Ning Bi, San Diego, CA (US); and Nikolai Konrad Leung, San Francisco, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Feb. 24, 2023, as Appl. No. 18/174,525.
Prior Publication US 2024/0289970 A1, Aug. 29, 2024
Int. Cl. G06T 7/12 (2017.01); G06T 7/33 (2017.01); G06T 17/00 (2006.01); G06V 20/70 (2022.01)
CPC G06T 7/344 (2017.01) [G06T 7/12 (2017.01); G06T 17/00 (2013.01); G06V 20/70 (2022.01); G06T 2207/20021 (2013.01); G06T 2207/20221 (2013.01)] 30 Claims
OG exemplary drawing
 
1. A method for image processing, comprising:
obtaining, from one or more image sensors, a first image of an environment;
determining semantic labels for a plurality of pixels of the first image based on whether each pixel of the plurality of pixels is associated with an object in the first image to generate a semantically segmented image;
applying a two-dimensional line representation of the first image to the semantically segmented image to generate a labeled 2D line representation;
back-projecting the labeled 2D line representation to three dimensions to generate a line representation model;
fusing the line representation model and the semantically segmented image to generate a labeled line representation model; and
outputting the labeled line representation model.