Name
Abstract | ||
|---|---|---|
We develop a new reassembly pipeline that automatically restores an image from its rips. First, we develop an image fragment descriptor called Bundle-of-Superpixel, which can more effectively support the detection of correlated (adjacent) image fragments and the computation of local pairwise partial matching. We also develop a hierarchical global composition algorithm that iteratively performs the reassembly through a bottom-up manner. We also build a data benchmark for fragmented images and propose a set of quantitative recomposition assessment measures. Through extensive experiments and comparisons, we demonstrate the effectiveness of our proposed algorithms. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.cagd.2019.04.015 | Computer Aided Geometric Design |
Keywords | DocType | Volume |
Partial matching,Image fragment reassembly,Hierarchical composition | Journal | 71 |
ISSN | Citations | PageRank |
0167-8396 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Li | 1 | 65 | 10.73 |
| Kang Xie | 2 | 10 | 1.99 |
| Wenxing Hong | 3 | 42 | 7.61 |
| Celong Liu | 4 | 9 | 2.20 |