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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | De Carufel, J. Laganiere, R. |
| Copyright Year | 2011 |
| Description | Author affiliation: VIVA Research lab, University of Ottawa, ON, Canada, K1N 6N5 (De Carufel, J.; Laganiere, R.) |
| Abstract | This paper presents a matching scheme for large set of omnidirectional images sequentially captured in an urban environment. Most classical image matching methods when applied to cylindrical panoramas taken in large environments does not always produce a sufficient number of matches. In this work, our objective is to making sure that the full set of panoramas remains as connected as possible at all geographical locations even if only a few panoramas sharing the same view of the scene are available. For this matter, we present a matching strategy that augments the accuracy and the number of match points in the context of urban panorama matching. To improve matching results, the method simulates different local transformations at chosen view directions of the panoramas. We show that our matching scheme improves the matching result on the specific panoramas where the classical methods fail to find a sufficient number of matches. This conclusion is supported by real-world experiments performed on 8017 pairs of images coming from 763 different images. |
| Starting Page | 320 |
| Ending Page | 327 |
| File Size | 9979442 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467300629 |
| e-ISBN | 9781467300636 |
| DOI | 10.1109/ICCVW.2011.6130259 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-06 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Geometry Image matching Buildings Motorcycles Feature extraction Three dimensional displays Trajectory |
| Content Type | Text |
| Resource Type | Article |
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