Best image crop selection
US10671887B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 5, 2017 |
| Grant date | Jun 2, 2020 |
| Priority date | — |
| Expiry date | Aug 28, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/454
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus, including computer program products, for creating a quality annotated training data set of images for training a quality estimating neural network. A set of images depicting a same object is received. The images in the set of images have varying image quality. A probe image whose quality is to be estimated is selected from the set of images. A gallery of images is selected from the set of images. The gallery of images does not include the probe image. The probe image is compared to each image in the gallery and a match score is generated for each image comparison. Based on the match scores, a quality value is determined for the probe image. The probe image and its associated quality value are added to a quality annotated training data set for the neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.