Name
Title | ||
|---|---|---|
Highlighting Feature Regions Combined with See-Through Visualization of Laser-Scanned Cultural Heritage |
Abstract | ||
|---|---|---|
We propose a method for precise point-based see-through visualization in which feature regions are highlighted. And by using this method we can recognize the 3D structures of the cultural heritage clearly. The recent rapid development of laser scanners has enabled the precise measurement of real cultural heritage objects. In the measurement, we acquire a point cloud consisting of a large scale of 3D points. The point cloud records complex outer and inner 3D structures of the measured object. See-through visualization is an effective method for recognizing inner 3D structures. To recognize the entire 3D structures based on the point cloud, we need a method for extracting and visualizing feature regions recorded in the point cloud. Therefore we combined these two methods to obtain the highly visible 3D structures of cultural heritage objects. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/Culture.and.Computing.2017.18 | 2017 International Conference on Culture and Computing (Culture and Computing) |
Keywords | Field | DocType |
laser-scanned point cloud,cultural heritage,principal component analysis,see-through visualization | Computer vision,Data visualization,Cultural heritage,Effective method,Visualization,Computer science,Feature extraction,Laser,Artificial intelligence,Point cloud | Conference |
ISBN | Citations | PageRank |
978-1-5386-1136-4 | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naoya Okamoto | 1 | 0 | 0.34 |
| Kyoko Hasegawa | 2 | 11 | 10.66 |
| Liang Li | 3 | 15 | 11.12 |
| Atsushi Okamoto | 4 | 4 | 1.75 |
| Satoshi Tanaka | 5 | 61 | 20.61 |