Name
Abstract | ||
|---|---|---|
Finding seamline networks is a key task in producing orthomosaics from aerial images. Recently proposed methods provide globally optimal solutions via local search operations, and this locality of reference makes these methods amenable to distributed implementation. In this work we demonstrate the distributed implementation of a recent seamline network estimation algorithm. We show that good scalability is achieved in practice, as well as in theory, across a cluster of computational nodes, and with multiple processes running on a single multi-core computer. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2683405.2683425 | IVCNZ |
Keywords | Field | DocType |
feature measurement,image mosaicing,concurrent programming,general,distributed computing,seamline detection | Computer vision,Locality of reference,Computer science,Artificial intelligence,Local search (optimization),Scalability,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Campbell Young | 1 | 0 | 0.34 |
| David M. Eyers | 2 | 477 | 45.90 |
| Steven Mills | 3 | 41 | 17.74 |