Name
Abstract | ||
|---|---|---|
Particle Image Velocimetry (PIV) is a popular approach to flow visualisation in hydro- and aerodynamic studies and applications. The fluid is seeded with particles that follow the flow and make it visible. Traditionally, correlation techniques have been used to estimate the displacements of the particles in a digital PIV sequence. In this paper, two efficient feature tracking algorithms are customised and applied to PIV. The algorithmic solutions of the application are described. Techniques for coherence filtering and interpolation of a velocity field are developed. Experimental results are given, demonstrating that the tracking algorithms offer Particle Image Velocimetry a good alternative to the existing techniques. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-44692-3_40 | CAIP |
Keywords | Field | DocType |
particle image,aerodynamic study,feature tracking,efficient feature,correlation technique,existing technique,good alternative,algorithmic solution,particle image velocimetry,digital piv sequence,tracking algorithm,velocity field | Particle tracking velocimetry,Computer vision,Particle image velocimetry,Computer science,Interpolation,Image processing,Artificial intelligence,Motion estimation,Flow visualization,Velocimetry,Seeding | Conference |
ISBN | Citations | PageRank |
3-540-42513-6 | 4 | 0.51 |
References | Authors | |
6 | 1 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chetverikov, D. | 1 | 956 | 99.89 |