Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
3. Towards an Automated True Color Projection onto Adaptively Reduced Point Data from 3D Surface Scans
verfasst von : Christoph Hoppe, Susanne Krömker
Erschienen in: Scientific Computing and Cultural Heritage
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
3D surface scanners can only record discrete data sets (point clouds). The meshing process is a complex issue and in the last years there were lots of algorithms developed to solve this problem. In this work an algorithm will be presented, which generates a textured regular surface model from arbitrary scattered 3D scan data. A color-coded normal field, delivered with the input data, allows for a meaningful projection of curved surfaces and, therefore, for iteratively building up a highly detailed regular mesh. As most scanners are able to pointwise record true color information, such a mesh can serve as a template to automatically generate a texture. After further reducing mesh complexity by using LOD-techniques, we can map the appropriate texture via classical UV-mapping onto the reduced mesh, such that the detailed color information of the surface is being preserved, even for low polygon surface models.