Learning part-based models of objects
US9111173B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 23, 2012 |
| Grant date | Aug 18, 2015 |
| Priority date | — |
| Expiry date | Jul 9, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/426
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method are provided for learning part-based object models during a learning phase from training images and applying the learned object models to an input image during runtime. The learned part-based object models are augmented by appearance-based models of the objects. The part-based object models correspond to the shapes of the parts of an object. The appearance-based models provide additional appearance cues to the object models for object classification. The approach to learning part-based object models has the capability of learning object models without using viewpoint labels of the objects. The learning is also invariant to scale and in-plane rotation of the objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.