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Author (up) Kalogerakis, Evangelos; Nowrouzezahrai, Derek; Simari, Patricio; Singh, Karan url  doi
openurl 
  Title Extracting lines of curvature from noisy point clouds Type Journal Article
  Year 2009 Publication Computer-Aided Design Abbreviated Journal  
  Volume 41 Issue 4 Pages 282-292  
  Keywords Lines of curvature; Robust curvature estimation; Point cloud denoising; Outlier rejection; Quad mesh construction  
  Abstract We present a robust framework for extracting lines of curvature from point clouds. First, we show a novel approach to denoising the input point cloud using robust statistical estimates of surface normal and curvature which automatically rejects outliers and corrects points by energy minimization. Then the lines of curvature are constructed on the point cloud with controllable density. Our approach is applicable to surfaces of arbitrary genus, with or without boundaries, and is statistically robust to noise and outliers while preserving sharp surface features. We show our approach to be effective over a range of synthetic and real-world input datasets with varying amounts of noise and outliers. The extraction of curvature information can benefit many applications in CAD, computer vision and graphics for point cloud shape analysis, recognition and segmentation. Here, we show the possibility of using the lines of curvature for feature-preserving mesh construction directly from noisy point clouds.  
  Address  
  Corporate Author Thesis  
  Publisher Elsevier Place of Publication New York, NY Editor Qian, Xiaoping; Horváth, Imre  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0010-4485 ISBN Medium  
  Area Expedition Conference  
  Notes Point-based Computational Techniques Approved yes  
  Call Number UCF @ kdamkjer @ Kalogerakis_2009 Serial 38  
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