Optimizing Triangle Mesh Reconstructions of Planar Environments
| Autor(en): | Wiemann, T. Lingemann, K. Hertzberg, J. |
Stichwörter: | 3D Mapping; Image segmentation; Indoor environment; Mesh Optimization; Meshing algorithm; Planar structure; Point cloud data; Polygonal representation; Robotic applications, Mesh generation; Robotics; Segmentation; Surface Reconstruction; Surface reconstruction, 3-D mapping | Erscheinungsdatum: | 2016 | Herausgeber: | Elsevier B.V. | Enthalten in: | IFAC-PapersOnLine | Band: | 49 | Ausgabe: | 15 | Startseite: | 218 | Seitenende: | 223 | Zusammenfassung: | Automatic surface reconstruction from point cloud data is an active field of research in robotics, as polygonal representations are compact and geometrically precise. Standard meshing algorithms produce many redundant triangles. Therefore methods for optimization are required. In this paper we present and evaluate a mesh optimization algorithm for robotic applications that was specially designed to exploit the planar structure of typical indoor environments. © 2016 |
ISSN: | 24058963 | DOI: | 10.1016/j.ifacol.2016.07.735 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991043178&doi=10.1016%2fj.ifacol.2016.07.735&partnerID=40&md5=dfafe288f9588638807e7da47fc24234 |
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