Correspondence probability map driven visualization
US10430947B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 2, 2015 |
| Grant date | Oct 1, 2019 |
| Priority date | — |
| Expiry date | Mar 6, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/412
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method generates and uses a correspondence probability map for visualization of two image datasets. The method includes obtaining two image datasets and obtaining an image registration algorithm that includes a correspondence model. The method further includes registering the two image datasets to generate a displacement vector field and generating a correspondence probability map, using the correspondence model, based on the two image datasets. The method further includes using the correspondence probability map to visualize the two image datasets. A computing system (120) includes a memory device (124) configured to store instructions, including a visualization module (130), and a processor (122) that executes the instructions, which causes the processor to generate and employ a correspondence probability map for visualization of two image datasets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.