Systems and methods for keypoint detection with convolutional neural networks
US11379688B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 16, 2018 |
| Grant date | Jul 5, 2022 |
| Priority date | — |
| Expiry date | Dec 26, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N23/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A keypoint detection system includes: a camera system including at least one camera; and a processor and memory, the processor and memory being configured to: receive an image captured by the camera system; compute a plurality of keypoints in the image using a convolutional neural network including: a first layer implementing a first convolutional kernel; a second layer implementing a second convolutional kernel; an output layer; and a plurality of connections between the first layer and the second layer and between the second layer and the output layer, each of the connections having a corresponding weight stored in the memory; and output the plurality of keypoints of the image computed by the convolutional neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.