Methods and systems using camera devices for deep channel and convolutional neural network images and formats
US11551335B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 7, 2017 |
| Grant date | Jan 10, 2023 |
| Priority date | — |
| Expiry date | Apr 7, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N7/18
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are disclosed using camera devices for deep channel and Convolutional Neural Network (CNN) images and formats. In one example, image values are captured by a color sensor array in an image capturing device or camera. The image values provide color channel data. The captured image values by the color sensor array are input to a CNN having at least one CNN layer. The CNN provides CNN channel data for each layer. The color channel data and CNN channel data is to form a deep channel image that stored in a memory. In another example, image values are captured by sensor array. The captured image values by the sensor array are input a CNN having a first CNN layer. An output is generated at the first CNN layer using the captured image values by the color sensor array. The output of the first CNN layer is stored as a feature map of the captured image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.