Name
Abstract | ||
|---|---|---|
A model for segmentation of an object space by an array of binary, radiation-field sensors and geometric reference structures is described. Given a family of binary, radiation-field sensors and a geometric reference structure, we refer to the set of sensor states induced by a source at point p as the signature of p. We study the segmentation of an object space into signature cells and prove near optimal bounds on the number of distinct signatures induced by a point source, as a function of sensor and reference structure complexity. We also show that almost any family of signatures can be implemented under this model. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1218556.1218557 | TOSN |
Keywords | Field | DocType |
structural complexity,sensor network,counting problems,point source | Computer vision,Market segmentation,Computer science,Segmentation,Counting problem,Point source,Artificial intelligence,Wireless sensor network,Binary number | Journal |
Volume | Issue | ISSN |
2 | 4 | 1550-4859 |
Citations | PageRank | References |
2 | 0.43 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pankaj K. Agarwal | 1 | 5257 | 593.81 |
| David J. Brady | 2 | 338 | 21.97 |
| Jiří Matoušek | 3 | 1711 | 179.65 |