Method and system for matching an image using normalized feature vectors
US9530076B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 16, 2015 |
| Grant date | Dec 27, 2016 |
| Priority date | — |
| Expiry date | Mar 1, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/758
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, system and computer program product for encoding an image is provided. The image that needs to be represented is represented in the form of a Gaussian pyramid which is a scale-space representation of the image and includes several pyramid images. The feature points in the pyramid images are identified and a specified number of feature points are selected. The orientations of the selected feature points are obtained by using a set of orientation calculating algorithms. A patch is extracted around the feature point in the pyramid images based on the orientations of the feature point and the sampling factor of the pyramid image. The boundary patches in the pyramid images are extracted by padding the pyramid images with extra pixels. The feature vectors of the extracted patches are defined. These feature vectors are normalized so that the components in the feature vectors are less than a threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.