Surface simplification with semantic features using texture and curvature maps

Soo Kyun Kim, Jung Lee, Cheol Su Lim, Chang-Hun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We propose a polygonal surface simplification algorithm that can preserve semantic features without user control. The semantic features of a model are important for human perception, which are insensitive to small geometric errors. Using an edge detects: Its three kinds of maps are employed to extract these features. First, an image map is generated boundary lines represent changes of chroma in the texture image by using edge detector. Second, the discrete curvatures at 3D vertices are mapped to the curvature map, and their data is also analyzed by an edge detector. Finally, a feature map is generated by combining the image and curvature maps. By finding areas of the 2D map that correspond to areas of the 3D model, semantic features can be preserved after simplification. We demonstrate this experimentally.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science
EditorsO. Gervasi, M.L. Gavrilova, V. Kumar, A. Lagana, H.P. Lee, Y. Mun, D. Taniar, C.J.K. Tan
Pages1080-1088
Number of pages9
Volume3482
EditionIII
Publication statusPublished - 2005
EventInternational Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore
Duration: 2005 May 92005 May 12

Other

OtherInternational Conference on Computational Science and Its Applications - ICCSA 2005
CountrySingapore
Period05/5/905/5/12

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ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Kim, S. K., Lee, J., Lim, C. S., & Kim, C-H. (2005). Surface simplification with semantic features using texture and curvature maps. In O. Gervasi, M. L. Gavrilova, V. Kumar, A. Lagana, H. P. Lee, Y. Mun, D. Taniar, & C. J. K. Tan (Eds.), Lecture Notes in Computer Science (III ed., Vol. 3482, pp. 1080-1088)