Image labeling using geodesic features
US10235605B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 10, 2013 |
| Grant date | Mar 19, 2019 |
| Priority date | — |
| Expiry date | Apr 19, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/031
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Image labeling is described, for example, to recognize body organs in a medical image, to label body parts in a depth image of a game player, to label objects in a video of a scene. In various embodiments an automated classifier uses geodesic features of an image, and optionally other types of features, to semantically segment an image. For example, the geodesic features relate to a distance between image elements, the distance taking into account information about image content between the image elements. In some examples the automated classifier is an entangled random decision forest in which data accumulated at earlier tree levels is used to make decisions at later tree levels. In some examples the automated classifier has auto-context by comprising two or more random decision forests. In various examples parallel processing and look up procedures are used.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.