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Dahyot, Rozenn and Kokaram, Anil (2004) Comparison of Two Algorithms for Robust M-estimation of Global Motion Parameters. Proceedings of the Irish Machine Vision Conference 2004. pp. 224-231.
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Abstract
The estimation of Global or Camera motion from image sequences is important both for video
retrieval and compression (MPEG4). This is frequently performed using robust M-estimators with
the widely used Iterative Reweighted Least Squares algorithm. This article presents an investigation
of the use of an alternative robust estimation algorithm and illustrates its improved computationnal
efficiency. The paper also introduces two new confidence measures which can be used to validate
camera motion measurements in the context of information retrieval.
| Item Type: | Article |
|---|---|
| Keywords: | Camera motion; M-estimators; Video analysis; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 15315 |
| Depositing User: | Rozenn Dahyot |
| Date Deposited: | 24 Jan 2022 12:52 |
| Journal or Publication Title: | Proceedings of the Irish Machine Vision Conference 2004 |
| Publisher: | Trinity College Dublin |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/15315 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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