| Presentation | 2009-10-22 視覚センサネットワークにおけるスケーラブルな視野接続推定(無線分散ネットワーク,一般) Shin KONDO, Shingo KAGAMI, Koichi HASHIMOTO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes a scalable method of estimating a vision graph, in which a pair of camera nodes are connected by an edge if the two nodes share the same field of view, based on local image feature correspondences. The proposed method is imeplemented in a distributed fashion, meanwhile avoiding the flooding of the image feature information since it can be a bottleneck in achieving scalability. The key idea is to partition the image feature space into a set of disjoint regions so that the correspondence search can be carried out within a partitioned region, with each region served by a different network node independently. Simulated results using real images show that the proposed method achieves reasonable estimation performance while improving the traffic amount and traffic balance greatly. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ad-hoc sensor network / vision graph / SIFT |
| Paper # | USN2009-29 |
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| Committee | USN |
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| Conference Date | 2009/10/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Ubiquitous and Sensor Networks(USN) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | |
| Sub Title (in English) | |
| Keyword(1) | ad-hoc sensor network |
| Keyword(2) | vision graph |
| Keyword(3) | SIFT |
| 1st Author's Name | Shin KONDO |
| 1st Author's Affiliation | Graduate School of Information Sciences, Tohoku University() |
| 2nd Author's Name | Shingo KAGAMI |
| 2nd Author's Affiliation | Graduate School of Information Sciences, Tohoku University |
| 3rd Author's Name | Koichi HASHIMOTO |
| 3rd Author's Affiliation | Graduate School of Information Sciences, Tohoku University |
| Date | 2009-10-22 |
| Paper # | USN2009-29 |
| Volume (vol) | vol.109 |
| Number (no) | 248 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |