Name
Abstract | ||
|---|---|---|
When in a pipeline a robust global motion estimation is needed, RANSAC algorithm is the usual choice. Unfortunately, since RANSAC is an iterative method based on random analysis, it is not suitable for real-time processing. This paper presents an outlier removal algorithm, which reaches a robust estimation at least equal to RANSAC with really low power consumption and can be employed for embedded time implementation. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-25903-1_7 | ACIVS |
Keywords | Field | DocType |
Motion estimation,Outlier removal,Optical flow,Motion retrieval,Real time | Outlier removal,Computer vision,Iterative method,Computer science,RANSAC,Outlier,Artificial intelligence,Motion estimation,Optical flow,Motion vector,Power consumption | Conference |
Volume | ISSN | Citations |
9386 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 13 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giuseppe Spampinato | 1 | 21 | 4.93 |
| Arcangelo Bruna | 2 | 54 | 9.64 |
| Giovanni Maria Farinella | 3 | 412 | 57.13 |
| Sebastiano Battiato | 4 | 659 | 78.73 |
| Giovanni Puglisi | 5 | 383 | 31.62 |