US 12,112,433 B2
Apparatus and methods for image reconstruction using machine learning processes
Wei-Lun Chang, Hsinchu (TW); Michel Adib Sarkis, San Diego, CA (US); Chieh-Ming Kuo, Taoyuan (TW); and Kuang-Man Huang, Zhubei (TW)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM INCORPORATED, San Diego, CA (US)
Filed on Apr. 6, 2022, as Appl. No. 17/714,743.
Prior Publication US 2023/0326136 A1, Oct. 12, 2023
Int. Cl. G06T 17/20 (2006.01); G06N 3/045 (2023.01); G06V 10/22 (2022.01)
CPC G06T 17/20 (2013.01) [G06N 3/045 (2023.01); G06V 10/235 (2022.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus comprising:
a non-transitory, machine-readable storage medium storing instructions; and
at least one processor coupled to the non-transitory, machine-readable storage medium, the at least one processor being configured to:
apply a first trained machine learning process to an image and generate coefficient data characterizing the image in a plurality of dimensions based on the application of the first trained machine learning process to the image;
generate first mesh data characterizing a first mesh of the image based on the coefficient data;
apply a second trained machine learning process to the coefficient data and the image, and generate displacement data characterizing a displacement image based on the application of the second trained machine learning process to the coefficient data and the image; and
generate second mesh data characterizing a second mesh of the image based on a combination of at least one vertex of the first mesh data and at least one vertex of the displacement data corresponding to a same coordinate.