Method and system for object classification using visible and invisible light images
US11100350B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 19, 2019 |
| Grant date | Aug 24, 2021 |
| Priority date | — |
| Expiry date | May 9, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/52
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and techniques for classifying and/or detecting objects using visible and invisible light images. A visible light image and an invisible light image are received at a convolutional neural network (CNN). The visible light image depicts a region-of-interest imaged using visible light. The invisible light image depicts at least a portion of the region-of-interest imaged using invisible light, and at least one of the images depicts an object-of-interest within the portion of the region-of-interest shared between the images. The CNN then classifies and/or detects the object-of-interest using the images. The CNN may be trained to perform this classification and/or detection using pairs of visible and invisible light training images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.