US 11,727,591 B2
Method and apparatus with image depth estimation
Seungeon Kim, Incheon (KR); and Hyunsung Chang, Seoul (KR)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Dec. 9, 2020, as Appl. No. 17/116,063.
Claims priority of application No. 10-2020-0094598 (KR), filed on Jul. 29, 2020.
Prior Publication US 2022/0036573 A1, Feb. 3, 2022
Int. Cl. G06K 9/00 (2022.01); G06T 7/593 (2017.01); G06N 3/08 (2023.01); G06N 7/01 (2023.01)
CPC G06T 7/593 (2017.01) [G06N 3/08 (2013.01); G06N 7/01 (2023.01); G06T 2207/10021 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 37 Claims
OG exemplary drawing
 
1. A neural network apparatus, the apparatus comprising:
a camera configured to capture an input image; and
one or more processors configured to:
apply the input image to a neural network;
obtain a first statistical value associated with a depth of a pixel included in the input image;
obtain another first statistical value associated with a depth of another pixel included in the input image;
obtain a second statistical value associated with the depth of the pixel included in the input image; and
obtain another second statistical value associated with the depth of the other pixel included in the input image;
estimate depth information of the pixel included in the input image based on the first statistical value and the second statistical value; and
estimate depth information of the other pixel included in the input image based on the other first statistical value and the other second statistical value,
wherein the first statistical value and the other first statistical value are of a same first type of statistical value, and the second statistical value and the other second statistical value are a same second type of statistical value different from the first type of statistical value.