System and method for finding saddle point-like structures in an image and determining information from the same
US9946947B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 12, 2013 |
| Grant date | Apr 17, 2018 |
| Priority date | — |
| Expiry date | Apr 5, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T7/60
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This invention provides a system and method for finding features in images that exhibit saddle point-like structures using relatively computationally low-intensive processes, illustratively consisting of an anti-correlation process, and associated anti-correlation kernel, which operates upon a plurality of pixel neighborhoods within the image. This process enables an entire image to be quickly analyzed for any features that exhibit such saddle point-like structures by determining whether the anti-correlation kernel generates a weak or strong response in various positions within the image. The anti-correlation kernel is designed to generate a strong response regardless of the orientation of a saddle point-like structure. The anti-correlation process examines a plurality of pixel neighborhoods in the image, thereby locating any saddle point-like structures regardless of orientation, as it is angle-independent. The structures are then grouped and refined (for example in a grid) in an effort to locate and decode ID topologies within the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.