Name
Abstract | ||
|---|---|---|
•To the best of our knowledge, this is the first survey paper to cover both optical flow and scene flow estimation comprehensively.•In contrast to existing surveys, this survey includes knowledge-driven, data-driven and hybrid-driven methods.•Comprehensive comparisons of existing methods on several datasets are provided with insightful observations and sufficient analyses.•Some of the open issues and potential research directions are discussed. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.patcog.2021.107861 | Pattern Recognition |
Keywords | DocType | Volume |
Motion analysis,Optical flow,Scene flow,Variational model,Deep learning,Convolutional neural networks (CNNs) | Journal | 114 |
Issue | ISSN | Citations |
1 | 0031-3203 | 2 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingliang Zhai | 1 | 12 | 4.31 |
| Xue-Zhi Xiang | 2 | 12 | 7.35 |
| Ning Lv | 3 | 31 | 11.32 |
| Xiangdong Kong | 4 | 2 | 0.36 |