Invention Grant
- Patent Title: 3D object model reconstruction from 2D images
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Application No.: US17249441Application Date: 2021-03-02
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Publication No.: US11688136B2Publication Date: 2023-06-27
- Inventor: Georgios Papandreou , Iason Kokkinos
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: SNAP INC.
- Current Assignee: SNAP INC.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Priority: GB 09515 2020.06.22
- Main IPC: G06T17/20
- IPC: G06T17/20 ; G06N20/00

Abstract:
Systems and methods for reconstructing 3D models of human bodies from 2D images that counts for perspective and/or distortion effects are provided. The systems and methods include reconstructing a three-dimensional model of an object in a three-dimensional scene from a two-dimensional image comprising an image of the object. The systems and methods include determining an absolute depth of a key point of the object in the image; determining, using the absolute depth of the key point, a three-dimensional position of the key point in the three-dimensional scene; generating, using a neural network, a three-dimensional representation of the object, the three-dimensional representation comprising mesh nodes defined in a coordinate system relative to the key point; and positioning the three-dimensional representation of the object in the scene based on the position of the key point by applying a position dependent rotation to the three-dimensional object.
Public/Granted literature
- US20210398351A1 3D OBJECT MODEL RECONSTRUCTION FROM 2D IMAGES Public/Granted day:2021-12-23
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