Method and system for localizing parts of an object in an image for computer vision applications
US8811726B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 4, 2012 |
| Grant date | Aug 19, 2014 |
| Priority date | — |
| Expiry date | Aug 13, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/165
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method is provided for localizing parts of an object in an image by training local detectors using labeled image exemplars with fiducial points corresponding to parts within the image. Each local detector generates a detector score corresponding to the likelihood that a desired part is located at a given location within the image exemplar. A non-parametric global model of the locations of the fiducial points is generated for each of at least a portion of the image exemplars. An input image is analyzed using the trained local detectors, and a Bayesian objective function is derived for the input image from the non-parametric model and detector scores. The Bayesian objective function is optimized using a consensus of global models, and an output is generated with locations of the fiducial points labeled within the object in the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.