Abstract
Localization, estimating the positions and orientations of a set of cameras, is a critical first step in camera-based sensor network applications such as geometric estimation, scene reconstruction, and motion tracking. We propose a new distributed localization algorithm for networks of cameras with sparse overlapping view structure that is energy efficient and copes well with networking dynamics. The distributed nature of the localization computations can result in order-of-magnitude savings in communication energy over centralized approaches.
Original language | English (US) |
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Title of host publication | Conference Record - Asilomar Conference on Signals, Systems and Computers |
Editors | M.B. Matthews |
Pages | 1381-1386 |
Number of pages | 6 |
Volume | 2 |
State | Published - 2004 |
Event | Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Nov 7 2004 → Nov 10 2004 |
Other
Other | Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers |
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Country/Territory | United States |
City | Pacific Grove, CA |
Period | 11/7/04 → 11/10/04 |
ASJC Scopus subject areas
- Engineering(all)