Patent ID: 11869152
Assignee: BODYGRAM, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method for generating a 3D mesh model of a product for a user, the computer-implemented method executable by a hardware processor, the method comprising:
receiving one or more images containing a body part of the user;
extracting a body part mesh of the body part from the one or more images, wherein the body part mesh comprises a plurality of body part key points of the body part, and wherein the extracting utilizes a key point deep learning module for generating the body part mesh from the one or more images;
identifying a product mesh subset of the plurality of body part key points from the extracted body part mesh utilizing a product mesh subset deep learning module that has been trained on a product mesh subset training data set,
wherein the product mesh subset training data set comprises one or more sample body part meshes for one or more sample users and a set of sample product mesh subsets for the one or more sample users, and
wherein the product mesh subset deep learning module takes as input the extracted body part mesh; and

generating a product mesh based on the identified product mesh subset of the plurality of body part key points utilizing a product mesh deep learning module that has been trained on a product mesh training data set,
wherein the product mesh training data set comprises one or more sample product mesh subsets for one or more sample users and a set of sample product meshes for the one or more sample users, and
wherein the product mesh deep learning module takes as input the identified product mesh subset.