System for determining embedding using spatial data
US11527092B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 16, 2020 |
| Grant date | Dec 13, 2022 |
| Priority date | — |
| Expiry date | Mar 7, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Images of a hand may be used to identify users. Quality, detail, and so forth of these images may vary. An image is processed to determine a first spatial mask. A first neural network comprising many layers uses the first spatial mask at a first layer and a second spatial mask at a second layer to process images and produce an embedding vector representative of features in the image. The first spatial mask provides information about particular portions of the input image, and is determined by processing the image with an algorithm such as an orientation certainty level (OCL) algorithm. The second spatial mask is determined using unsupervised training and represents weights of particular portions of the input image as represented at the second layer. The use of the masks allows the first neural network to learn to use or disregard particular portions of the image, improving overall accuracy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.