Methods and systems for registering images for electronic designs
US12045996B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 13, 2021 |
| Grant date | Jul 23, 2024 |
| Priority date | — |
| Expiry date | Aug 23, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30141
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods for training a convolutional neural network to register images for electronic designs include inputting a first pair of images aligned in a first modality and a second pair of images aligned in a second modality. An affine transformation is generated with a convolutional neural network, using one image from the first pair of images and one image from the second pair of images. The one image from the first pair of images is in the first modality and the one image from the second pair of images is in the second modality. Methods for registering images for electronic designs include inputting a pair of images, wherein the pair of images comprises a computer aided design (CAD) image and a scanning electron microscope (SEM) image. The CAD image is registered to the SEM image, using a trained convolutional neural network. The trained convolutional neural network further comprises an affine transformation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.