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:
Aug. 27, 2024

Filed:

Apr. 08, 2022
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 ...
G06V 30/418 (2022.01); G06F 16/55 (2019.01); G06F 16/56 (2019.01); G06T 17/00 (2006.01); G06V 10/764 (2022.01); G06V 10/82 (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 physical objects which are preserved or represented in pictorial records. The reconstructed models can be three-dimensional (3D) point clouds and can be compared to existing physical 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 the object to be described. The one or more feature vector representations of the object can be used individually or in combination with other descriptors for retrieval and classification tasks. Neural networks can be used in the encoding of the one or more feature vector representations.


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