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. 12, 2025

Filed:

Aug. 21, 2024
Applicant:

International Institute of Information Technology, Hyderabad, Hyderabad, IN;

Inventors:

P. J. Narayanan, Hyderabad, IN;

Prayushi Mathur, Kota, IN;

Kajal Sanklecha, Jalgaon, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/2457 (2019.01); G06F 16/44 (2019.01); G06F 16/532 (2019.01); G06N 3/088 (2023.01);
U.S. Cl.
CPC ...
G06F 16/532 (2019.01); G06F 16/24578 (2019.01); G06F 16/444 (2019.01); G06N 3/088 (2013.01);
Abstract

A system and processor-implemented method for three-dimensional (3D) object retrieval using a self-supervised model is provided. The present system learns an embedding space of the 3D mesh objects in a self-supervised manner without the need for objects annotated with their class or other properties. Effective embeddings of 3D mesh objects are learned using the self-supervised method for ranked retrieval from a large collection of 3D objects. A simple representation of mesh objects and a standard neural network model is used to learn the embedding. The results are retrieved on the basis of the shape of the object which may not belong to the same category but look similar in shape using the embeddings generated by self-supervised model. The system is independent of class labels and uses the entire 3D model for better information extraction.


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