MathSciDoc: An Archive for Mathematician ∫

 
Log In
Sign Up
Help
Go
 

Robust Feature Classification and Editing

Yu-Kun Lai Tsinghua University, Qian-Yi Zhou Tsinghua University, Shi-Min Hu Tsinghua University, Johannes Wallner Vienna University of Technology Helmut Pottmann Vienna University of Technology

Geometric Modeling and Processing mathscidoc:1608.16057

IEEE Transactions on Visualization and Computer Graphics, 13, (1), 34-45, 2007
Sharp edges, ridges, valleys and prongs are critical for the appearance and an accurate representation of a 3D model. In this paper, we propose a novel approach that deals with the global shape of features in a robust way. Based on a remeshing algorithm which delivers an isotropic mesh in a feature sensitive metric, features are recognized on multiple scales via integral invariants of local neighborhoods. Morphological and smoothing operations are then used for feature region extraction and classification into basic types such as ridges, valleys and prongs. The resulting representation of feature regions is further used for feature-specific editing operations.
Feature sensitivity, remeshing, morphology, feature extraction, feature classification, feature editing
[ Download ] [ 2016-08-23 21:16:27 uploaded by shimin ] [ 1084 downloads ] [ 0 comments ] [ Cited by 76 ] 
@inproceedings{yu-kun2007robust,
  title={Robust Feature Classification and Editing},
  author={Yu-Kun Lai, Qian-Yi Zhou, Shi-Min Hu, Johannes Wallner, and Helmut Pottmann},
  url={http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20160823211627916276420},
  booktitle={IEEE Transactions on Visualization and Computer Graphics},
  volume={13},
  number={1},
  pages={34-45},
  year={2007},
}
Yu-Kun Lai, Qian-Yi Zhou, Shi-Min Hu, Johannes Wallner, and Helmut Pottmann. Robust Feature Classification and Editing. 2007. Vol. 13. In IEEE Transactions on Visualization and Computer Graphics. pp.34-45. http://archive.ymsc.tsinghua.edu.cn/pacm_paperurl/20160823211627916276420.
Please log in for comment!
 
 
Contact us: office-iccm@tsinghua.edu.cn | Copyright Reserved