Object-centric and relation-centric graph neural networks for physical property discovery
US12249148B2 · kind B2 · utility
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15Claims
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Key dates
| Filing date | Mar 24, 2022 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | Jul 18, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30241
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to one embodiment, a method, computer system, and computer program product for identifying one or more intrinsic physical properties of one or more objects is provided. The present invention may include identifying one or more objects in a video set, extracting observable physical properties of the identified one or more objects from the video set, including one or more trajectories, and inferring, by a property-based graph neural network, intrinsic properties of the one or more objects based on the trajectories.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.