Establishment method of 3D saliency model based on prior knowledge and depth weight
US10008004B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 13, 2017 |
| Grant date | Jun 26, 2018 |
| Priority date | — |
| Expiry date | Jan 13, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of establishing a 3D saliency model based on 3D contrast and depth weight, includes dividing left view of 3D image pair into multiple regions by super-pixel segmentation method, synthesizing a set of features with color and disparity information to describe each region, and using color compactness as weight of disparity in region feature component, calculating feature contrast of a region to surrounding regions; obtaining background prior on depth of disparity map, and improving depth saliency through combining the background prior and the color compactness; taking Gaussian distance between the depth saliency and regions as weight of feature contrast, obtaining initial 3D saliency by adding the weight of the feature contrast; enhancing the initial 3D saliency by 2D saliency and central bias weight.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.