Small object detection from a large image
US10621725B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 12, 2017 |
| Grant date | Apr 14, 2020 |
| Priority date | — |
| Expiry date | Jun 24, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments include apparatus and methods for training and/or using a convolutional neural network. An image pyramid is calculated from an original image including at least one object of interest. The image pyramid includes a first image under analysis and a second image under analysis. Image patches are calculated at a first predetermined size relative to the first image under analysis and a second plurality of image patches having a second predetermined size relative to the second image under analysis. The convolutional neural network is trained using the image patches and subsequent images are analyzed by the convolutional neural network using similar image patches.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.