Abstract | ||
---|---|---|
In this paper a robust structure from motion (SfM) algorithm using a discrete H∞ filter is presented. Existing SfM algorithms do not work well when large motion or measurements modeling uncertainties are present. By using a H∞ filter these modeling uncertainties can be successfully handled. This algorithm has been tested on synthetic image sequences and results show the superiority of the H∞ filtering approach |
Year | DOI | Venue |
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2000 | 10.1109/ICIP.2000.899529 | Image Processing, 2000. Proceedings. 2000 International Conference |
Keywords | Field | DocType |
filtering theory,image sequences,motion estimation,H∞ filtering,SfM algorithms,discrete H∞ filter,modeling uncertainties,motion estimation,robust estimation,structure from motion algorithm,synthetic image sequences | H-infinity methods in control theory,Computer vision,Computer science,Control theory,Algorithm,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
3 | 1522-4880 | 0-7803-6297-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gang Qian | 1 | 0 | 0.34 |
Amit Kale | 2 | 708 | 48.47 |
Chellappa, R. | 3 | 13050 | 1440.56 |