The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 29, 2025

Filed:

May. 13, 2024
Applicant:

Georgetown University, Washington, DC (US);

Inventors:

Cristopher Flagg, Annandale, VA (US);

Ophir Frieder, Chevy Chase, MD (US);

Assignee:

Georgetown University, Washington, DC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/00 (2006.01); G06F 16/55 (2019.01); G06F 16/56 (2019.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 30/418 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
G06V 30/418 (2022.01); G06F 16/55 (2019.01); G06F 16/56 (2019.01); G06T 17/00 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/169 (2022.01); G06T 2200/04 (2013.01); G06T 2200/08 (2013.01);
Abstract

Technologies are described for reconstructing facial models which are preserved images or images captured from security cameras. The reconstructed models can be three-dimensional (3D) point clouds and can be compared to existing facial models and/or other reconstructed models based on physical geometry. The 3D point cloud models can be encoded into one or more latent space feature vector representations which can allow both local and global geometric properties of a face to be described. The one or more feature vector representations of a target face can be used individually or in combination with other descriptors for recognition, retrieval, and classification tasks. Neural networks can be used in the encoding of the one or more feature vector representations.


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