Name
Abstract | ||
|---|---|---|
According to recent results on Middlebury, MPI Sintel, and KITTI benchmarks, the accuracy of optical flow estimation algorithms has been significantly improved. The speed of them, however, has been too slow to meet the requirement of real-time applications. As a result, some parallel architectures (such as FPGA or GPU) have to be used for accelerating. Therefore, reducing the computational cost of... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCSVT.2016.2592322 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Optical imaging,Estimation,Data structures,Boolean functions,Adaptive optics,Optical sensors,Computer vision | Boolean function,Data structure,Computer vision,Approx,Computer science,Flow (psychology),Field-programmable gate array,Artificial intelligence,Initialization,Optical flow,Adaptive optics | Journal |
Volume | Issue | ISSN |
27 | 11 | 1051-8215 |
Citations | PageRank | References |
3 | 0.37 | 29 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| En Zhu | 1 | 349 | 50.63 |
| Yuanwei Li | 2 | 3 | 0.37 |
| Yanling Shi | 3 | 5 | 3.88 |