System and method for retrieving a three-dimensional (3D) object using a self-supervised model
US12386884B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2024 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Aug 21, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.