Name
Abstract | ||
|---|---|---|
Stereo image retargeting plays a significant role in the field of image processing, which aims at making major objects as prominent as possible when the resolution of an image is changed, including maintaining disparity and depth information at the same time. Some seam carving methods are proposed to preserve the geometric consistency of the images. However, the regions of occlusion on both sides are not considered properly. In this article, we propose a solution to solve this problem. A new strategy of seams finding is designed by considering occluded and occluding regions on both of the input images, and leaving geometric consistency in both images intact. We also introduced the method of line segment detection and superpixel segmentation to further improve the quality of the images. Imaging effects are optimized in the process and visual comfort, which is also influenced by other factors, can be boosted as well.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3321513 | ACM Transactions on Multimedia Computing, Communications, and Applications |
Keywords | Field | DocType |
Stereo image retargeting,avoiding strategy,line segment detection,occluded regions,occluding regions | Computer vision,Computer science,Seam carving,Artificial intelligence,Multimedia | Journal |
Volume | Issue | ISSN |
15 | 3 | 1551-6857 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongyi Gong | 1 | 7 | 3.59 |
| Shangru Li | 2 | 1 | 0.35 |
| Kanoksak Wattanachote | 3 | 25 | 5.71 |
| Xiaonan Luo | 4 | 697 | 92.76 |