Name
Abstract | ||
|---|---|---|
We propose a novel model-based surface approximation method for three-dimensional (3-D) surface quality inspection that combines a machine learning approach with multiresolution paradigms. Acceptable surface deviations are modeled by learning a number of 3-D measurements of tolerance samples. At the same time, areas with high surface details are hierarchically refined, allowing an improved spatial... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TII.2016.2585982 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Solid modeling,Surface treatment,Three-dimensional displays,Inspection,Computational modeling,Data models,Deformable models | Computer vision,Data modeling,Curvature,Computer science,Spatial localization,Algorithm,Real-time computing,Artificial intelligence,Solid modeling,Eigendecomposition of a matrix,Point cloud,Computation | Journal |
Volume | Issue | ISSN |
12 | 4 | 1551-3203 |
Citations | PageRank | References |
2 | 0.40 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastian von Enzberg | 1 | 7 | 1.96 |
| Ayoub Al-Hamadi | 2 | 474 | 67.09 |