Name
Abstract | ||
|---|---|---|
Three-dimensional video (3DV), as the new generation of video format standard, can provide the viewers with a vivid screen sense and a realistic stereo impression. Meanwhile the view synthesis has become an important issue for 3DV application. Differently from the conventional methods based on depth, in this paper we propose a new view synthesis algorithm, which can employ the correlation among views and warp in the image domain only. There are mainly two contributions. One is the incorporation of sobel edge points into feature extraction and matching, which can obtain a better stable homography and then a visual comfortable synthesis view compared to SIFT points only. The other is a novel image blending method proposed to obtain a better synthesis image. Experimental results demonstrate that the proposed method can improve the synthesis quality both in subjectivity and objectivity. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.3837/tiis.2017.11.018 | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS |
Keywords | Field | DocType |
View synthesis,Image warping,Image blending,3D video | Computer vision,Image warping,Computer science,View synthesis,Artificial intelligence,Feature based,Distributed computing | Journal |
Volume | Issue | ISSN |
11 | 11 | 1976-7277 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ningning Hu | 1 | 0 | 0.34 |
| Yao Zhao | 2 | 1926 | 219.11 |
| Bai Huihui | 3 | 243 | 41.01 |