US 11,776,129 B2
Semantic refinement of image regions
Eyasu Zemene Mequanint, San Diego, CA (US); Yingyong Qi, San Diego, CA (US); and Ning Bi, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Dec. 16, 2020, as Appl. No. 17/124,401.
Prior Publication US 2022/0189029 A1, Jun. 16, 2022
Int. Cl. G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 7/90 (2017.01)
CPC G06T 7/11 (2017.01) [G06T 7/136 (2017.01); G06T 7/90 (2017.01); G06T 2207/10024 (2013.01); G06T 2207/30188 (2013.01)] 30 Claims
OG exemplary drawing
 
1. An apparatus for image processing, the apparatus comprising:
at least one memory; and
at least one processor coupled to the at least one memory, the at least one processor configured to:
receive an image captured by an image sensor;
determine a first image region in the image that includes a depiction of a first object category of a plurality of object categories and a second image region in the image that includes a depiction of a second object category of the plurality of object categories;
combine information derived from each of a plurality of color distance maps to generate a decision map, wherein each of the plurality of color distance maps includes a plurality of color distance values indicative of respective differences in color between a sample pixel in the second image region and each of a plurality of pixels in the first image region, and wherein each of the plurality of color distance maps is based on a different sample pixel in the second image region; and
process the image based on a refined variant of the first image region that is refined based on the decision map.