Object detection with textural to spectral domain adaptation
US9495618B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Aug 6, 2015 |
| Grant date | Nov 15, 2016 |
| Priority date | — |
| Expiry date | Aug 6, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/751
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for object detection include training a first classifier to detect an object based on textural features and a second classifier to detect the object based on textural features and spectral features. A classifier relationship between the two classifiers is learned and used with the first classifier to detect other objects. If desired, the performance of the object detector can be improved by comparing the results of detecting objects with the first classifier and the classifier relationship versus detecting objects with the first and second classifier together, and modifying the classifier relationship based upon the comparison.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.