Name
Title | ||
|---|---|---|
Exploiting multi-core and GPU hardware to speed up the registration of range images by means of Differential Evolution |
Abstract | ||
|---|---|---|
Within this paper a general-purpose distributed evolutionary algorithm is presented, and is applied to the pair-wise registration of range images. Registration is carried out by utilizing the Grid Closest Point (GCP) for the graphical registration operations and the distributed algorithm to search for the best possible transformation of a scene image that, merged with the model image, yields a 3D reconstruction of the original object. The evolutionary algorithm is a distributed Differential Evolution algorithm that exploits an asynchronous migration mechanism and a multi-population recombination information exchange. Such an algorithm is provided with an adaptive updating scheme based on chaotic features for dynamically updating the control parameters. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jpdc.2018.07.002 | Journal of Parallel and Distributed Computing |
Keywords | Field | DocType |
Range image registration,Distributed computing,Heuristics | Evolutionary algorithm,Computer science,Parallel computing,Robustness (computer science),Differential evolution,Computational science,Distributed algorithm,Multi-core processor,Grid,Image registration,Speedup | Journal |
Volume | ISSN | Citations |
133 | 0743-7315 | 1 |
PageRank | References | Authors |
0.36 | 38 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Casella | 1 | 1 | 0.36 |
| I De Falco | 2 | 314 | 16.62 |
| A Della Cioppa | 3 | 387 | 22.13 |
| Umberto Scafuri | 4 | 116 | 16.33 |
| Ernesto Tarantino | 5 | 361 | 42.45 |