Invention Grant
- Patent Title: Generation of product mesh and product dimensions from user image data using deep learning networks
-
Application No.: US17924994Application Date: 2021-05-11
-
Publication No.: US11869152B2Publication Date: 2024-01-09
- Inventor: Chong Jin Koh , Kyohei Kamiyama , Nobuyuki Hayashi
- Applicant: Bodygram, Inc.
- Applicant Address: US NY New York
- Assignee: Bodygram, Inc.
- Current Assignee: Bodygram, Inc.
- Current Assignee Address: US NY New York
- Agency: American Patent Agency PC
- Agent Daniar Hussain; Stephen M. Hou
- International Application: PCT/US2021/070533 2021.05.11
- International Announcement: WO2021/232049A 2021.11.18
- Date entered country: 2022-11-12
- Main IPC: G06T19/00
- IPC: G06T19/00 ; G06T7/60 ; G06Q30/0601 ; G06T17/20

Abstract:
The present invention provides systems and methods for generating a 3D product mesh model and product dimensions from user images. The system is configured to receive one or more images of a user's body part, extract a body part mesh having a plurality of body part key points, generate a product mesh from an identified subset of the body part mesh, and generate one or more product dimensions in response to the selection of one or more key points from the product mesh. The system may output the product mesh, the product dimensions, or a manufacturing template of the product. In some embodiments, the system uses one or more machine learning modules to generate the body part mesh, identify the subset of the body part mesh, generate the product mesh, select the one or more key points, and/or generate the one or more product dimensions.
Public/Granted literature
- US20230186567A1 Generation of Product Mesh and Product Dimensions from User Image Data using Deep Learning Networks Public/Granted day:2023-06-15
Information query