Name
Abstract | ||
|---|---|---|
The method of Grimson, Lozano Pérez et al., for the generation of feasible interpretations of scenes with sparse data, has been developed and implemented by the authors on a distributed array processor, the AMT DAP, which operates in SIMD mode. Measurements involving the location vectors and the surface normals at m data points, considered in pairs, are compared with the maximum and minimum values associated with the n × n pairs faces of a polyhedral object model, in a process that exploits n × n parallelism. The subsequent validation of the interpretations, in which data points have been assigned provisionally to object model faces, are discussed. |
Year | DOI | Venue |
|---|---|---|
1989 | 10.1016/0262-8856(90)90027-3 | Image Vision Comput. |
Keywords | DocType | Volume |
object recognition,sparse data,validation,sparse data-validation,polyhedral object recognition,parallelism | Conference | 8 |
Issue | ISSN | Citations |
2 | Image and Vision Computing | 3 |
PageRank | References | Authors |
0.54 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. Holder | 1 | 3 | 0.54 |
| Hilary Buxton | 2 | 491 | 135.93 |