Name
Abstract | ||
|---|---|---|
A parallel pipeline is shown to be a natural method of speeding up a typical computer vision application, face inspection using `Eigenfaces". Faces within a stream of video images are continuously surveyed in a manner akin to a `conveyor belt" inspection process. The parallelisation is a new exemplar of a scheme for the rapid prototyping of large-scale, multi-algorithm applications suitable for transfer to a message-passing multicomputer. A general solution, pipelined processor farms (PPF), is... |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/s001380050140 | Mach. Vis. Appl. |
Keywords | Field | DocType |
performance analysis,automatic face inspection,face identifica- tion,data farm,parallel pipeline,pipelined parallelisation,message passing,computer vision | Rapid prototyping,Computer vision,Computer science,Software,Artificial intelligence | Journal |
Volume | Issue | ISSN |
12 | 4 | 0932-8092 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Fleury | 1 | 380 | 57.38 |
| A. D. Downtown | 2 | 0 | 0.34 |
| Adrian F. Clark | 3 | 221 | 72.99 |