Name
Abstract | ||
|---|---|---|
A novel 3D shape preserving data reduction technique for managing the amount of data acquired by laser scanning is presented that overcomes the shortcomings of existing filter-based methods. The technique is based on a discrete Gaussian image of the scanned points which is obtained by estimating surface normals and projecting them into a Gaussian sphere. The discrete Gaussian image is then used to partition the points into cells. In each cell, a reference point and its neighbours are used to determine the cell representative point and all other points are removed. The performance of the proposed method is illustrated using a range of point clouds scanned from typical engineering surfaces. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.3233/JCM-2009-0234 | J. Comput. Meth. in Science and Engineering |
Keywords | Field | DocType |
surface normal,filter-based method,cell representative point,gaussian sphere,data reduction technique,scanned point,reference point,improving data reduction,discrete gaussian image,typical engineering surface,data reduction,reverse engineering,filtering | Computer vision,Laser scanning,Reverse engineering,Filter (signal processing),Gaussian,Gaussian surface,Artificial intelligence,Partition (number theory),Point cloud,Mathematics,Data reduction | Journal |
Volume | Issue | ISSN |
9 | 1 | 1472-7978 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sultan Aljahdali | 1 | 71 | 15.26 |
| E. A. Zanaty | 2 | 7 | 0.85 |
| Narayan Debnath | 3 | 23 | 9.86 |