Quantifying computer vision algorithm performance in the presence of system uncertainty
US10482339B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 7, 2017 |
| Grant date | Nov 19, 2019 |
| Priority date | — |
| Expiry date | Aug 2, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/10048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of quantifying computer vision algorithm performance. The method includes receiving a first image and a second image from an imaging system. Each of the first and second images is characterized by an image intensity value. Iteratively, an evaluation value of a noise profile is applies to the first and second images to form respective first and second composite images, and algorithm performance using the first and second composite images is measured. The measured performances are compared and an operational range of the algorithm determined. The noise profile includes at least one source of noise inherent to the imaging system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.