Towards an Automated True Color Projection Onto Adaptively Reduced Point Data from 3D Surface Scans
Contributions in Mathematical and Computational Sciences Scientific Computing and Cultural Heritage(2012)
摘要
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.
更多查看译文
关键词
Automatic texture generation,Level-of-detail,Point cloud,Surface reconstruction,3D surface scan
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要