Synthesizing training samples for object recognition
US8903167B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 12, 2011 |
| Grant date | Dec 2, 2014 |
| Priority date | — |
| Expiry date | Jan 25, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/28
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An enhanced training sample set containing new synthesized training images that are artificially generated from an original training sample set is provided to satisfactorily increase the accuracy of an object recognition system. The original sample set is artificially augmented by introducing one or more variations to the original images with little to no human input. There are a large number of possible variations that can be introduced to the original images, such as varying the image's position, orientation, and/or appearance and varying an object's context, scale, and/or rotation. Because there are computational constraints on the amount of training samples that can be processed by object recognition systems, one or more variations that will lead to a satisfactory increase in the accuracy of the object recognition performance are identified and introduced to the original images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.