Abstract | ||
---|---|---|
A novel method for automatic registration based on Iterative Closest Point (ICP) approach is proposed. This method uses geometric bounding containers to evaluate the optimum overlap rate of the data and model point sets. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/978-3-540-76856-2_48 | ISVC |
Keywords | Field | DocType |
model point set,novel method,automatic registration,iterative closest point,closest point algorithm,laser scanner,robustness | Computer vision,Pattern recognition,Computer science,Algorithm,Robustness (computer science),Artificial intelligence,Bounding overwatch,Iterative closest point | Conference |
Volume | ISSN | ISBN |
4842 | 0302-9743 | 3-540-76855-6 |
Citations | PageRank | References |
1 | 0.35 | 25 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
R. Synave | 1 | 1 | 0.68 |
P Desbarats | 2 | 7 | 2.34 |
S. Gueorguieva | 3 | 1 | 0.68 |