Method and system for detecting and classifying objects in an image
US6501857B1 · kind B1 · utility
Inventors
Key dates
| Filing date | Jul 20, 1999 |
| Grant date | Dec 31, 2002 |
| Priority date | — |
| Expiry date | Jul 20, 2019 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99936
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure provides a system for classifying images, used in image detection, image recognition, or other computer vision. The system processes directory images to obtain eigenvectors and eigenvalues, and selects a set of “smooth” basis vectors formed by linear combinations of these eigenvectors to be applied against a target image. Contrary to conventional wisdom, however, a group of the eigenvectors having the weakest eigenvalues are used to select the basis vectors. A second process is then performed on this group of “weakest” eigenvectors to identify a set of candidate vectors, ordered in terms of “smoothness.” The set of basis vectors (preferably 3-9) is then chosen from the candidate vectors in order of smoothness, which are then applied in an image detection or image recognition process. Unlike some conventional systems where “strong” directory presence and thresholds are used to detect possible matches, the present system uses smooth, weak vectors to ideally produce zero or near zero results for matches.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.