IP Library Granted Patent US 12,620,174
Granted Patent B2
US 12,620,174 · App. 18/243,796 · Granted May 5, 2026

Reconstruction of a 3D mesh of a person

Inventors: Karthik Shetty (Erlangen, DE); Annette Birkhold (Stuttgart, DE)
Assignee: Siemens Healthineers AG
G06T17/20G06T7/75
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Quick Facts
Patent No.
US 12,620,174
App. No.
18/243,796
Granted
May 5, 2026
Kind
B2
Abstract

A 3D mesh of a person shall be reconstructed based on one single 2D image. For this purpose, 2D vertex projections and 3D vertex projections of the person are predicted based on the single 2D image. An approximated pose is estimated from the 3D vertex projections. The shape and/or pose, i.e. the 3D mesh of the person, is computed from the predicted 2D vertex projections and from the approximated pose by using a pregiven camera model and an articulated 3D mesh model of a human body.

Claims (32)

1 . A method of reconstructing a 3D mesh of a person, the method comprising:

providing a single 2D image of the person;

predicting 2D vertex projections and 3D vertex projections of the person based on the single 2D image;

estimating an approximated pose from the 3D vertex projections, and

computing a shape, a pose, or the shape and the pose of the person from the predicted 2D vertex projections and from the approximated pose by using a pregiven camera model and an articulated 3D mesh model of a human body.

2 . The method of claim 1 , wherein computing includes computing rotations for individual segments of the human body.

3 . The method of claim 2 , wherein pose parameters for the articulated 3D mesh model are obtained by inverse geometric transformation of the computed rotations.

4 . The method of claim 1 , wherein computing includes a translation of coordinates of the predicted 2D vertex projections into a pregiven coordinate system.

5 . The method of claim 1 , wherein the articulated 3D mesh model bases on a system of linear equations.

6 . The method of claim 5 , wherein a depth constraint is added to the system of linear equations.

7 . The method of claim 6 , wherein at least one further articulated 3D mesh model based on linear equations is added to the system of linear equations.

8 . A device for reconstructing a 3D mesh of a person, the device comprising:

an image delivery component configured to provide one single 2D image from the person;

a prediction component configured to predict 2D vertex projections and a 3D vertex projections of the person based on the single 2D image;

an estimation component configured to estimate an approximated pose from the 3D vertex projections; and

a calculation component configured to compute a shape, a pose, or the shape and the pose of the person from the predicted 2D vertex projections and from the approximated pose by using a pregiven camera model and an articulated 3D mesh model of a human body.

9 . The device of claim 8 , wherein computing includes computing rotations for individual segments of the human body.

10 . The device of claim 9 , wherein pose parameters for the articulated 3D mesh model are obtained by inverse geometric transformation of the computed rotations.

11 . The device of claim 8 , wherein computing includes a translation of coordinates of the predicted 2D vertex projections into a pregiven coordinate system.

12 . The device of claim 8 , wherein the articulated 3D mesh model bases on a system of linear equations.

13 . The device of claim 12 , wherein a depth constraint is added to the system of linear equations.

14 . The device of claim 13 , wherein at least one further articulated 3D mesh model based on linear equations is added to the system of linear equations.

15 . A non-transitory computer readable storage medium comprising a set of computer-readable instructions stored thereon, the instructions which, when executed by at least one processor cause the processor to:

provide a single 2D image of the person;

predict 2D vertex projections and 3D vertex projections of the person based on the single 2D image;

estimate an approximated pose from the 3D vertex projections, and

compute a shape, a pose, or the shape and the pose of the person from the predicted 2D vertex projections and from the approximated pose by using a pregiven camera model and an articulated 3D mesh model of a human body.

16 . The non-transitory computer readable storage medium of claim 15 , wherein the instructions for the at least one processor to compute include computing rotations for individual segments of the human body.

17 . The non-transitory computer readable storage medium of claim 16 , wherein pose parameters for the articulated 3D mesh model are obtained by inverse geometric transformation of the computed rotations.

18 . The non-transitory computer readable storage medium of claim 15 , wherein the instructions for the at least one processor to compute include a translation of coordinates of the predicted 2D vertex projections into a pregiven coordinate system.

19 . The non-transitory computer readable storage medium of claim 15 , wherein the articulated 3D mesh model bases on a system of linear equations.

20 . The non-transitory computer readable storage medium of claim 15 , wherein a depth constraint is added to the system of linear equations.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 9, 2026
From: SHETTY, KARTHIK; BIRKHOLD, ANNETTE
To: SIEMENS HEALTHINEERS AG
Reel/Frame 074011/0133 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 20, 2023
From: SIEMENS HEALTHCARE GMBH
To: SIEMENS HEALTHINEERS AG
Reel/Frame 066267/0346 →
Priority Claims (1)
EP 22195196 · Sep 12, 2022 · regional
Continuity (1)
Related Publication 20240087230A1 · Mar 14, 2024
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