Abstract
Catmull-Clark subdivision scheme provides a powerful method for building smooth and complex surfaces. But the number of faces in the uniformly refined meshes increases sharply with respect to subdivision depth. This paper presents an adaptive subdivision technique as a solution to this problem. Instead of subdivision depths of mesh faces, the adaptive subdivision process is driven by labels of mesh vertices, which can be viewed as subdivision depths of the surface in the vicinity of the mesh vertices. Smooth transition between faces with different subdivision depths is provided by an unbalanced-subdivision process. The resulting meshes are crack-free, and all the faces are quadrilaterals. Limit surface of the resulting meshes is the same as the original limit surface. Test results show that the number of faces generated in the adaptively refined meshes is one order less than the uniform approach. The proposed technique works for cubic Doo-Sabin subdivision surfaces, non-uniform cubic subdivision surfaces and combined subdivision surfaces as well.
Original language | English |
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Pages (from-to) | 253-261 |
Number of pages | 9 |
Journal | Computer-Aided Design and Applications |
Volume | 2 |
Issue number | 1-4 |
DOIs | |
State | Published - 2005 |
Bibliographical note
Funding Information:Work of the first author is supported by NSF of China (60403047) and FANEDD (200342). Work of the second author is supported by NSF (DMI-0422126).
Funding
Work of the first author is supported by NSF of China (60403047) and FANEDD (200342). Work of the second author is supported by NSF (DMI-0422126).
Funders | Funder number |
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National Science Foundation (NSF) | DMI-0422126 |
National Natural Science Foundation of China (NSFC) | 60403047 |
Foundation for the Author of National Excellent Doctoral Dissertation of the People's Republic of China | 200342 |
Keywords
- Adaptive subdivision
- Mesh Generation
- Subdivision surfaces
ASJC Scopus subject areas
- Computational Mechanics
- Computer Graphics and Computer-Aided Design
- Computational Mathematics