Name
Abstract | ||
|---|---|---|
Textured polygon meshes are becoming more and more important for robotic applications. In this paper we present an approach to automatically extract textures from colored 3D point cloud data and apply them to a polygonal reconstruction of the scene. The extracted textures are analyzed for existing patters and reused if several instances appear. Emphasis of this work is on minimizing the number of used pixels while maintaining a realistic impression of the scanned environment. |
Year | Venue | Keywords |
|---|---|---|
2013 | 2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) | mesh generation,feature extraction,image reconstruction,image texture |
Field | DocType | ISSN |
Computer vision,Polygon,Texture compression,Polygon mesh,Computer graphics (images),Image texture,Computer science,Impression,Feature extraction,Pixel,Artificial intelligence,Point cloud | Conference | 2153-0858 |
Citations | PageRank | References |
2 | 0.50 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kim Oliver Rinnewitz | 1 | 2 | 0.50 |
| Thomas Wiemann | 2 | 53 | 10.00 |
| Kai Lingemann | 3 | 555 | 35.98 |
| Joachim Hertzberg | 4 | 1571 | 142.29 |