Learning method, learning device for detecting object using edge image and testing method, testing device using the same
US10229346B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 4, 2018 |
| Grant date | Mar 12, 2019 |
| Priority date | — |
| Expiry date | Sep 4, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30256
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A learning method for detecting a specific object based on convolutional neural network (CNN) is provided. The learning method includes steps of: (a) a learning device, if an input image is obtained, performing (i) a process of applying one or more convolution operations to the input image to thereby obtain at least one specific feature map and (ii) a process of obtaining an edge image by extracting at least one edge part from the input image, and obtaining at least one guide map including information on at least one specific edge part having a specific shape similar to that of the specific object from the obtained edge image; and (b) the learning device reflecting the guide map on the specific feature map to thereby obtain a segmentation result for detecting the specific object in the input image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.