Structured landmark detection via topology-adapting deep graph learning
US11763468B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 9, 2020 |
| Grant date | Sep 19, 2023 |
| Priority date | — |
| Expiry date | Aug 11, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure describes a computer-implemented method for image landmark detection. The method includes receiving an input image for the image landmark detection, generating a feature map for the input image via a convolutional neural network, initializing an initial graph based on the generated feature map, the initial graph representing initial landmarks of the input image, performing a global graph convolution of the initial graph to generate a global graph, where landmarks in the global graph move closer to target locations associated with the input image, and iteratively performing a local graph convolution of the global graph to generate a series of local graphs, where landmarks in the series of local graphs iteratively move further towards the target locations associated with the input image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.