Systems and methods for detecting a point of interest change using a convolutional neural network
US11055569B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 19, 2019 |
| Grant date | Jul 6, 2021 |
| Priority date | — |
| Expiry date | Sep 19, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for detecting a point of interest (POI) change in a pair of inputted POI images. A first processor of the method: generates triplets of training POI images using a base of training POI images and trains a convolutional neural network (CNN) of three-stream Siamese type based on the triplets of training POI images. A second processor of the method: computes, for each image of the pair of inputted POI images, a descriptor of that image using a stream of the CNN of three-stream Siamese type, computes a similarity score based on the descriptors of the images of the pair of inputted POI images using a similarity score function, and selectively detects the POI change based on the similarity score. A third processor of the method generates the base of training POI images to include an initial set of POI images and a set of synthetic POI images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.