Invention Grant
- Patent Title: Three-dimensional (3D) model generation from two-dimensional (2D) images
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Application No.: US17874992Application Date: 2022-07-27
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Publication No.: US11948248B2Publication Date: 2024-04-02
- Inventor: Nima Sarshar , Max Hwang
- Applicant: NexTech AR Solutions Inc.
- Applicant Address: CA Toronto
- Assignee: NexTech AR Solutions Corp.
- Current Assignee: NexTech AR Solutions Corp.
- Current Assignee Address: CA Toronto
- Agency: Fenwick & West LLP
- Main IPC: G06T17/10
- IPC: G06T17/10 ; G06T17/20 ; G06T19/00

Abstract:
A model generation system generates three-dimensional object models based on two-dimensional images of an object. The model generation system can apply an iterative gradient decent process to model parameters for part models within an object model to compute a final set of model parameter values to generate the object model. To compute the final set of model parameter values, the model generation generates a reference image of the object model and compares the reference image to a received image. The model generation system uses a differentiable error function to score the reference image based on a received image. The model generation system updates the set of model parameter values based on the score for the reference image, and iteratively repeats the process until a reference image is sufficiently similar to the received image.
Public/Granted literature
- US20240037851A1 THREE-DIMENSIONAL (3D) MODEL GENERATION FROM TWO-DIMENSIONAL (2D) IMAGES Public/Granted day:2024-02-01
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