Abstract | ||
---|---|---|
•More efficient feature point detection algorithm than traditional algorithms.•Algorithm with higher accuracy than traditional feature point matching algorithm.•Effective use of GPU resources to further improve algorithm efficiency. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.patrec.2019.06.018 | Pattern Recognition Letters |
Keywords | Field | DocType |
Panoramic video,Image stitching,Embedded GPU,Local ORB,Stream parallel optimization | Scale-invariant feature transform,Computer vision,Image stitching,Video stitching,Parallel optimization,CUDA,sort,Orb (optics),Feature extraction,Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
133 | 0167-8655 | 0 |
PageRank | References | Authors |
0.34 | 13 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chengyao Du | 1 | 0 | 0.34 |
Jingling Yuan | 2 | 84 | 17.93 |
Jiansheng Dong | 3 | 0 | 0.34 |
Lin Li | 4 | 19 | 7.67 |
Mincheng Chen | 5 | 0 | 0.34 |
Tao Li | 6 | 7216 | 393.45 |