Hybrid graph model for unsupervised object segmentation
US7995841B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 24, 2007 |
| Grant date | Aug 9, 2011 |
| Priority date | — |
| Expiry date | Jun 4, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/84
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure describes an integrated framework for class-unsupervised object segmentation. The class-unsupervised object segmentation occurs by integrating top-down constraints and bottom-up constraints on object shapes using an algorithm in an integrated manner. The algorithm describes a relationship among object parts and superpixels. This process forms object shapes with object parts and oversegments pixel images into the superpixels, with the algorithm in conjunction with the constraints. This disclosure describes computing a mask map from a hybrid graph, segmenting the image into a foreground object and a background, and displaying the foreground object from the background.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.