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Feature Sensitive Hole Filling with Crest Lines

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Part of the book series:Lecture Notes in Computer Science ((LNTCS,volume 4222))

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Abstract

Feature sensitive hole filling is important for many computer graphics and geometric modeling applications. In this paper, we address the problem of reconstructing the salient features when filling holes in mesh. It respects fine shape features and works well on various types of shapes, including natural mesh and mechanical parts. For representing salient surface features, we adopt crest lines. The connectivity of the hole including the lost crest lines are decided by triangulation and region growing. The geometric position of the vertices and crest points in the hole are resolved by using a least-squares problem.

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Author information

Authors and Affiliations

  1. Department of computer science and engineering, Shanghai Jiao Tong University, 200240, Shanghai, China

    Mingxi Zhao, Lizhuang Ma, Zhihong Mao & Zhong Li

Authors
  1. Mingxi Zhao

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  2. Lizhuang Ma

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  3. Zhihong Mao

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  4. Zhong Li

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Editor information

Editors and Affiliations

  1. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  3. School of Electronic Engineering, Xidian Univ., P.O. Box, 710071, Xi’an, P.R. China

    Xinbo Gao

  4. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

  5. Multi-Agent Systems Lab,Department of Computer Science, University of Science and Technology of China, 230026, Hefei, China

    Feng Wu

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhao, M., Ma, L., Mao, Z., Li, Z. (2006). Feature Sensitive Hole Filling with Crest Lines. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_81

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