Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

A Feature Preserving Denoising Approach for Scanned Models Based on Trilateral Filtering

Zhang Xin1,2)Wang Zhangye1) Fan Hanqi1)Wang Baoyuan3)Peng Qunsheng1,2)1)(State Key Laboratory of CAD & CG,Zhejiang University,Hangzhou 310058)2)(Center of Mathematical Sciences,Zhejiang University,Hangzhou 310027)3)(Department of Computer Science,Zhejiang University,Hangzhou 310027)  
With the wide application of 3D scanning technology,how to model the target object based on the discrete scanning data in a robust and efficient way has become one of the research topics in Computer Graphics.This paper proposes a robust filter function,called trilateral filter function,to filter the noises in the domains of surface curvature,normal and position at each sample point while the local surface is fitted in a quadratic form.By optimizing the filtering result of curvature tensor,our approach is capable of preserving the feature on the target model.Since it requests no connection information between the adjacent sample points,the proposed approach is applicable to both mesh and point models.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved