US 11,688,143 B2
Method, electronic device, and computer program product for processing an image
Danqing Sha, Shanghai (CN); Qiang Chen, Shanghai (CN); Zhen Jia, Shanghai (CN); and Jinpeng Liu, Shanghai (CN)
Assigned to EMC IP Holdinq Company LLC, Hopkinton, MA (US)
Filed by EMC IP Holding Company LLC, Hopkinton, MA (US)
Filed on Feb. 19, 2021, as Appl. No. 17/179,988.
Claims priority of application No. 202110126097.0 (CN), filed on Jan. 29, 2021.
Prior Publication US 2022/0245899 A1, Aug. 4, 2022
Int. Cl. G06T 15/00 (2011.01); G06T 19/00 (2011.01); G06N 3/088 (2023.01); G06T 3/40 (2006.01); G06V 10/40 (2022.01); G06N 3/045 (2023.01)
CPC G06T 19/006 (2013.01) [G06N 3/045 (2023.01); G06N 3/088 (2013.01); G06T 3/4046 (2013.01); G06V 10/40 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method for processing an image, comprising:
acquiring an image about an augmented reality scene;
determining a target image part corresponding to a target object from the image;
using a machine learning model to augment information about the target object in the target image part to obtain an augmented target image part; and
displaying the augmented target image part;
wherein the machine learning model is configured to generate a complete image of a given object based on a partial image of the given object;
wherein the target image part comprises an unobscured part of an obscured image of the target object, the obscured image of the target object further comprising an obscured part that is obscured by at least a portion of an image of an additional object different than the target object; and
wherein using a machine learning model to augment information about the target object in the target image part comprises:
extracting the unobscured part of the target image part of the image; and
inputting the unobscured part of the target image part to the machine learning model to obtain a complete unobscured image of the target object as the augmented target image part.