Feature correspondence between images using an image pyramid
US6741757B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 7, 2000 |
| Grant date | May 25, 2004 |
| Priority date | — |
| Expiry date | Mar 7, 2020 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/2504
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Feature correspondence between images using an image pyramid is disclosed. In one embodiment, a fundamental matrix between a first and a second image is generated from the image pyramid. The image pyramid is first generated, and has a predetermined number of fineness levels, from a coarsest to a finest level. Each of the images has significant features at each pyramid level. A plurality of hypotheses, or particles, is generated for the fundamental matrix at the coarsest level, based on matching significant features of the images at the coarsest level. In an iterative procession through the levels of the image pyramid, starting at a present level initially set to the coarsest level and then subsequently advanced by one fineness level upon each iteration, an importance sampling function is first formulated from the hypotheses. The plurality of hypotheses is then generated at the next pyramid level based on the function, and on the significant features of the images at this next level. The iteration is complete when the next level has reached the finest pyramid level. The hypotheses generated at the finest level encapsulate the fundamental matrix together with its uncertainty.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.