3D polarimetric face recognition system

US10915737B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10915737-B2
Application numberUS-201916291066-A
CountryUS
Kind codeB2
Filing dateMar 4, 2019
Priority dateMar 4, 2019
Publication dateFeb 9, 2021
Grant dateFeb 9, 2021

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Abstract

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Object/facial recognition systems, methods, architectures, mechanisms and/or apparatus for 3D face or object recognition using a 3D surface reconstructed from polarimetric thermal facial/object imager to form a 2D or 3D image which is rotated to conform with a pose of a reference image to allow comparison thereto.

First claim

Opening claim text (preview).

The invention claimed is: 1. A computer implemented object recognition method, comprising: acquiring or calculating long-wave-infrared radiation (LWIR) Stokes images S 0 , S 1 and S 2 using polarimetric imaging of an object of interest; generating a 3D Stokes image S 0 surface overlay of the object of interest using the acquired Stokes images; estimating a pose of the 3D Stokes image S 0 surface overlay of the object of interest using rotation (Euler) angles (α i , β i , γ i ); rotating the 3D Stokes image S 0 surface overlay such that the pose of the object of interest provided therein substantially conforms to a pose of a reference object; and generating a heat map of the rotated 3D Stokes image S 0 surface overlay. 2. The method of claim 1 , wherein the heat map of the rotated 3D Stokes image S 0 surface overlay of the object of interest comprises a 3D heat map of the object of interest and the method further comprises: comparing the 3D heat map of the object of interest to the reference object to generate thereby a similarity score. 3. The method of claim 2 , wherein said step of comparing comprises comparing the generated 3D heat map of the object of interest with a 3D surface of the reference object. 4. The method of claim 2 , wherein said step of comparing is performed by a remote server in response to receiving 3D surface imagery of the object of interest. 5. The method of claim 1 , further comprising: projecting the heat map of the rotated 3D Stokes image S 0 surface overlay of the object of interest onto a plane perpendicular to the imaging axis to generate a 2D rotated heat map of the object of interest, wherein said step of comparing comprises comparing the 2D rotated heat map of the object of interest with a 2D surface of the reference object. 6. The method of claim 5 , wherein said step of comparing is performed by a remote server in response to receiving 2D surface imagery of the object of interest. 7. The method of claim 5 , wherein the step of comparing further comprises: comparing the 2D heat map of the object of interest with the 2D surface of the reference object. 8. The method of claim 7 , wherein said step of rotating the 3D Stokes image S 0 surface overlay is performed by maximizing a similarity between the pose of the object of interest provided therein and the pose of a reference object. 9. The method of claim 7 , wherein said step of rotating the 3D Stokes image S 0 surface overlay is performed by maximizing a left/right symmetry of the pose of the object of interest. 10. The method of claim 1 , wherein said step of rotating the 3D Stokes image S 0 surface overlay is performed by maximizing a similarity between the pose of the object of interest provided therein and the pose of a reference object. 11. The method of claim 1 , wherein said step of rotating the 3D Stokes image S 0 surface overlay is performed by maximizing a left/right symmetry of the pose of the object of interest. 12. The method of claim 1 , wherein said steps of rotating and comparing are performed for each of a plurality of reference objects within a reference object database, said method further comprising identifying a reference object associated with the highest similarity score. 13. The method of claim 1 , wherein said steps of rotating and comparing are performed for a specific of reference object within a reference object database, said method further comprising identifying a reference object to match said object of interest in response to a similarity score exceeding a threshold level. 14. An apparatus for object recognition, the apparatus comprising a processor configured for: acquiring or calculating a Stokes images S 0 , S 1 and S 2 using polarimetric sensor information associated with an object of interest; generating a 3D Stokes image S 0 surface overlay of the object of interest using the acquiring Stokes images; estimating a pose of the 3D Stokes image S 0 surface overlay of the object of interest using rotation (Euler) angles (α i , β i , γ i ); rotating the 3D Stokes image S 0 surface overlay such that the pose of the object of interest provided therein substantially conforms to a pose of a reference object; and generating a heat map of the rotated 3D Stokes image S 0 surface overlay. 15. The apparatus of claim 14 , wherein said processor being further configured to compare the generated heat map of the rotated 3D Stokes image S 0 surface overlay of the object of interest to the reference object to generate thereby a similarity score. 16. The apparatus of claim 15 , wherein said comparing comprises comparing the generated heat map of the rotated 3D Stokes image S 0 surface overlay of the object of interest with a 3D surface of the reference object. 17. The apparatus of claim 15 , wherein said processor being further configured to project the heat map of the rotated 3D Stokes image S 0 surface overlay onto a plane perpendicular to the imaging axis to generate a 2D rotated heat map, and said comparing comprises comparing the 2D rotated heat map of the object of interest with a 2D surface of the reference object. 18. The apparatus of claim 15 , wherein the step of comparing further comprises comparing the 2D heat map of the rotated Stokes image S 0 surface overlay of the object of interest with the 2D surface of the reference object. 19. The apparatus of claim 15 , wherein said steps of rotating and comparing are performed for each of a plurality of reference objects within a reference object database, said processor being further configured for identifying a reference object associated with the highest similarity score. 20. The apparatus of claim 15 , wherein said steps of rotating and comparing are performed for a specific of reference object within a reference object database, said processor being further configured for identifying a reference object to match said object of interest in response to a similarity score exceeding a threshold level. 21. The apparatus of claim 14 , wherein said rotating the 3D Stokes image S 0 surface overlay is performed by one or both of maximizing a similarity between the pose of the object of interest provided therein and the pose of a reference object, and maximizing a left/right symmetry of the pose of the object of interest. 22. A tangible and non-transient computer readable storage medium storing instructions which, when executed by a computer, adapt the operation of the computer to provide a method for object recognition, comprising: acquiring or calculating Stokes images S 0 , S 1 and S 2 using polarimetric sensor information associated with an object of interest; generating a 3D Stokes image S 0 surface overlay of the object of interest using the acquiring Stokes images; estimating a pose of the 3D Stokes image S 0 surface overlay of the object of interest rotating the 3D Stokes image S 0 surface overlay such that the pose of the object of interest provided therein substantially conforms to a pose of a reference object; and generating a 2D or 3D heat map of the rotated 3D Stokes image S 0 surface overlay.

Assignees

Inventors

Classifications

  • based on eigen-space representations, e.g. from pose or different illumination conditions; Shape manifolds · CPC title

  • G06V20/64Primary

    Three-dimensional [3D] objects · CPC title

  • Classification, e.g. identification · CPC title

  • Polarimeters using electric detection means (G01J4/02 takes precedence) · CPC title

  • Imaging · CPC title

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What does patent US10915737B2 cover?
Object/facial recognition systems, methods, architectures, mechanisms and/or apparatus for 3D face or object recognition using a 3D surface reconstructed from polarimetric thermal facial/object imager to form a 2D or 3D image which is rotated to conform with a pose of a reference image to allow comparison thereto.
Who is the assignee on this patent?
Us Army Res Lab, Us Army
What technology area does this patent fall under?
Primary CPC classification G06V20/64. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 09 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).