Name
Abstract | ||
|---|---|---|
Rigid registration is an important step in 3D scanning and modeling of manufactured objects that are generallycomposed of a combination of basic geometric primitives such as planes, spheres, cylinders, etc. In thispaper, an efficient and robust method is proposed to align two basic geometric primitives. The transformationbetween two primitives is found by minimizing the parameter error between primitive correspondences. Theapproach applies an interior-point method and a new objective function to achieve good results. Comparedto previous primitive-based alignment approach proposed by Rabbani et al. (Rabbani et al., 2007), the presentedapproach achieves better results in terms of convergence and accuracy. Finally, the proposed method isused in various applications such as data completion and primitive-based registration for quality control andinspection. |
Year | Venue | Field |
|---|---|---|
2016 | VISIGRAPP (1: GRAPP) | Convergence (routing),Computer vision,Computer science,Cylinder,Geometric primitive,SPHERES,Artificial intelligence |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Trung-Thien Tran | 1 | 11 | 3.75 |
| Van-Toan Cao | 2 | 11 | 3.07 |
| Denis Laurendeau | 3 | 803 | 169.72 |