Name
Abstract | ||
|---|---|---|
In traditional 2D image stitching, the baseline method usually means global homography via Direct Linear Transformation (DLT) on inliers. In this paper, a modified baseline method for light field (LF) stitching is proposed to stitch two LFs. The depth map and the center sub-aperture image (SAI) are used to filter the feature points of the entire LF. The global 4D homography is then calculated by DLT to align all SAIs corresponding to the same angular domain coordinates of two LFs. Finally, the improved Markov Random Field (MRF) energy considering the global LF is used to find the seam of 2D SAIs instead of computational 4D graph cut. Experimental results show that the proposed method can effectively stitch the 4D LFs, and preserve the consistency of the angular and spatial domains of the stitched LF compared with implementing 2D image stitching to the corresponding SAIs. Moreover, the method proposed in this paper can easily extend all advanced 2D image stitching methods to 4D LF, so that the acquired LF can have larger field of view and wider applications. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/VCIP47243.2019.8965971 | VCIP |
Field | DocType | Citations |
Field of view,Cut,Computer vision,Image stitching,Computer science,Markov random field,Light field,Homography,Artificial intelligence,Depth map,Direct linear transformation | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yilei Chen | 1 | 0 | 2.37 |
| Ping An | 2 | 545 | 68.73 |
| Xinpeng Huang | 3 | 0 | 0.34 |
| Chunli Meng | 4 | 1 | 2.04 |
| Qiang Wu | 5 | 0 | 0.34 |