Methods and systems for using compact object image data to construct a machine learning model for pose estimation of an object
US12373995B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2023 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Feb 19, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20132
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An illustrative model construction system may access object image data representative of one or more images depicting an object having a plurality of labeled keypoint features. Based on the object image dataset, the model construction system may generate a training target dataset including a plurality of training target images. Each training target image may be generated by selecting a background image distinct from the object image data, manipulating a depiction of the object represented within the object image data, and overlaying the manipulated depiction of the object onto the selected background image with the labeled keypoint features. Based on this training target dataset, the model construction system may train a machine learning model to recognize and estimate a pose of the object when the object is depicted in input images analyzed using the trained machine learning model. Corresponding methods and systems are also disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.