Name
Abstract | ||
|---|---|---|
As a significant branch of virtual reality, stereoscopic image stitching aims to generating wide perspectives and natural-looking scenes. Existing 2D image stitching methods cannot be successfully applied to the stereoscopic images without considering the disparity consistency of stereoscopic images. To address this issue, this paper presents a stereoscopic image stitching method based on disparity-constrained warping and blending, which could avoid visual distortion and preserve disparity consistency. First, a point-line-driven homography based disparity minimization method is designed to pre-align the left and right images and reduce vertical disparity. Afterwards, a multi-constraint warping is proposed to further align the left and right images, where the initial disparity map is introduced to control the consistency of disparities. Finally, a disparity consistency seam-cutting and blending method is presented to determine the optimal seam and conduct stereoscopic image stitching. Experimental results demonstrate that the proposed method achieves competitive performance compared with other state-of-the-art methods. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TMM.2019.2932573 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Stereo image processing,Distortion,Two dimensional displays,Visualization,Minimization methods,Shape,Feature extraction | Computer vision,Image stitching,Image warping,Virtual reality,Stereoscopy,Computer science,Minification,Homography,Artificial intelligence,Visual distortion | Journal |
Volume | Issue | ISSN |
22 | 3 | 1520-9210 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoting Fan | 1 | 12 | 3.24 |
| Jianjun Lei | 2 | 713 | 52.69 |
| Yuming Fang | 3 | 1247 | 75.50 |
| Qingming Huang | 4 | 3919 | 267.71 |
| Nam Ling | 5 | 612 | 75.02 |
| Chunping Hou | 6 | 85 | 14.69 |