Name
Abstract | ||
|---|---|---|
A depth map generally can be divided into the region with sharp edges and the region consisting of nearly constant or slowly varying samples. In this paper, in order to investigate how the distortion in the two regions affect the perceived 3D quality of synthesized stereopairs, a dataset is first built based on distinctive coding for two regions, and then a subjective test is conducted. Based on the subjective evaluation results, a support vector regression (SVR) based model is built to estimate the perceived 3D quality of the synthesized stereopairs with the features extracted from the depth maps. As a metric for depth quality assessment, the proposed model outperforms the conventional 2D QA metrics applied to the depth maps as well as that applied to the stereopairs. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | depth map,two regions,depth quality,perceived 3D quality,SVR |
Field | DocType | ISSN |
Pattern recognition,Computer science,Support vector machine,Feature extraction,Coding (social sciences),Artificial intelligence,Systems architecture,Depth map,Distortion | Conference | 0271-4302 |
ISBN | Citations | PageRank |
978-1-4799-5341-7 | 1 | 0.40 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhang Yu | 1 | 1 | 0.40 |
| Xin Jin | 2 | 98 | 26.32 |
| Qionghai Dai | 3 | 3904 | 215.66 |