DocumentCode
2232925
Title
Multi-scale surface representation of point-sampled geometry
Author
Dian-hua, Zhang ; Tian, Yue ; Yong-Hui, Chen
Author_Institution
Dep. of Comput. Sci., Southwest Univ. of Sci. & Technol., Mianyang, China
fYear
2005
fDate
15-17 Sept. 2005
Firstpage
371
Lastpage
376
Abstract
With increasing complexity of 3D geometric models and growing demand for advanced modeling functionality, significant effort is being devoted to the design of efficient, reliable, and scalable algorithms for digital geometry processing. We introduce a multi-scale surface representation that enables sophisticated editing functionality at different approximation levels, using the concept of scale-space. The key issue is the interconnection between successive levels in the hierarchy. We use a fairing operator-a geometric low-pass filter to generate successively smoother approximation levels of a given input surface, and use a decomposition operator to encode each level relative to the next smoother level using normal displacements to ensure intuitive detail preservation. As a result, users can edit the surface at different approximation levels to perform coarse-scale edits on the whole model as well as very localized modifications on the surface detail.
Keywords
image representation; image sampling; low-pass filters; decomposition operator; geometric low-pass filter; multiscale surface representation; point-sampled geometry; Algorithm design and analysis; Computational geometry; Computer graphics; Computer science; Encoding; Laplace equations; Large-scale systems; Low pass filters; Rendering (computer graphics); Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing and Analysis, 2005. ISPA 2005. Proceedings of the 4th International Symposium on
ISSN
1845-5921
Print_ISBN
953-184-089-X
Type
conf
DOI
10.1109/ISPA.2005.195440
Filename
1521319
Link To Document