Confidence-based segmentation of multiple units
US12183011B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 28, 2021 |
| Grant date | Dec 31, 2024 |
| Priority date | — |
| Expiry date | May 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30242
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments of the present technology generally relate to robotic devices and artificial intelligence. More specifically, some embodiments relate to modeling uncertainty in neural network segmentation predictions of imaged scenes having a plurality of objects. In some embodiments, a computer vision system for guiding robotic picking utilizes a method for uncertainty modeling that comprises receiving one or more images of a scene comprising a plurality of distinct objects, generating a plurality of segmentation predictions each comprising one or more object masks, identifying a predefined confidence requirement, wherein the confidence requirement identifies a minimum amount of required agreement for a region, and outputting one or more object masks based on the confidence requirement. The systems and methods disclosed herein leverage the use of a plurality of hypotheses to create a distribution of possible segmentation outcomes in order model uncertainty associated with image segmentation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.