Back-propagation image visual saliency detection method based on depth image mining
US11227178B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 24, 2017 |
| Grant date | Jan 18, 2022 |
| Priority date | — |
| Expiry date | Dec 11, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20076
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A back-propagation significance detection method based on depth map mining, comprising: for an input image Io, at a preprocessing phase, obtaining a depth image Id and an image Cb with four background corners removed of the image Io; at a first processing phase, carrying out positioning detection on a significant region of the image by means of the obtained image Cb with four background corners removed and the obtained depth image Id to obtain the preliminary detection result S1 of a significant object in the image; then carrying out depth mining on a plurality of processing phases of the depth image Id to obtain corresponding significance detection results; and then optimizing the significance detection result mined in each processing phase by means of a back-propagation mechanism to obtain a final significance detection result map. The method can improve the detection accuracy of the significance object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.