US 11,928,799 B2
Electronic device and controlling method of electronic device
Ashish Chopra, Noida (IN); and Bapi Reddy Karri, Noida (IN)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Jun. 4, 2021, as Appl. No. 17/339,449.
Claims priority of application No. 202041027623 (IN), filed on Jun. 29, 2020; and application No. 10-2020-0167701 (KR), filed on Dec. 3, 2020.
Prior Publication US 2021/0407057 A1, Dec. 30, 2021
Int. Cl. G06T 5/50 (2006.01); G06T 3/40 (2006.01); G06T 7/11 (2017.01)
CPC G06T 5/50 (2013.01) [G06T 3/4038 (2013.01); G06T 7/11 (2017.01); G06T 2207/10024 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20221 (2013.01)] 18 Claims
OG exemplary drawing
 
1. An electronic device comprising:
a plurality of cameras; and
at least one processor communicatively connected to the plurality of cameras,
wherein the at least one processor is configured to:
based on a first user command to obtain a live view image, obtain a plurality of regions by segmenting a first image frame, obtained via a first camera among the plurality of cameras, based on a brightness of pixels and an object included in the first image frame;
obtain a plurality of camera parameter setting value sets, each camera parameter setting value set including a plurality of parameter values and corresponding to each of the plurality of regions obtained by segmenting the first image frame that is obtained via the first camera;
based on a second user command to capture the live view image, obtain a plurality of image frames by applying the plurality of camera parameter setting value sets to at least one camera among the plurality of cameras; and
obtain a second image frame corresponding to the second user command by merging the plurality of image frames, and
wherein the at least one processor is further configured to:
obtain a plurality of first camera parameter setting value sets, each of which corresponds to each of the plurality of regions, by inputting the plurality of regions to a first neural network model, and
obtain the plurality of camera parameter setting value sets by inputting the plurality of first camera parameter setting value sets, the first image frame obtained via the first camera, and a plurality of parameter values of the first camera to a second neural network model.