US 12,380,586 B2
Method and electronic device for identifying size of measurement target object
Kyoobin Lee, Gwangju (KR); Seunghyeok Back, Busan (KR); Sungho Shin, Busan (KR); Raeyoung Kang, Busan (KR); and Sangjun Noh, Busan (KR)
Assigned to GIST(Gwangju Institute of Science and Technology), Gwangju (KR)
Filed by GIST(Gwangju Institute of Science and Technology), Gwangju (KR)
Filed on Sep. 2, 2021, as Appl. No. 17/465,650.
Claims priority of application No. 10-2020-0119669 (KR), filed on Sep. 17, 2020.
Prior Publication US 2022/0084234 A1, Mar. 17, 2022
Int. Cl. G06T 7/62 (2017.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G06V 20/00 (2022.01)
CPC G06T 7/62 (2017.01) [G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/97 (2017.01); G06V 20/00 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01)] 6 Claims
OG exemplary drawing
 
1. A method of identifying a size of a measurement target object by an electronic device having at least one camera, a processor, and a memory, the method comprising:
capturing, by the at least one camera, a reference object image of a reference object, which is a reference for identifying the size of the measurement target object;
capturing, by the at least one camera, a target object image of the measurement target object;
inputting, by the processor, the target object image to a first Convolutional Neural Network (CNN)-based model;
acquiring, by the processor, a target object mask image generated by the first CNN-based model on the basis of a target object area in the target object image;
fusing, by the processor, the target object mask image and the reference object image, to generate a fused image;
inputting, by the processor, the fused image to a second CNN-based neural network, which is different from the first CNN-based model;
acquiring, by the processor, size information of the measurement target object from the second CNN-based neural network.