A Technology to Multi-Resolution Surface Reconstruction

Tong Tong Zhu; Gang Xu; Ming Cong Ma; Xing Ye Liu

doi:10.4028/www.scientific.net/AMR.805-806.1933

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 805-806A Technology to Multi-Resolution Surface...

A Technology to Multi-Resolution Surface Reconstruction

Abstract:

An approach is presented based on scattered data points subdivision surfaces to achieve multi-resolution surface reconstruction techniques. In the surface reconstruction process, based on gray-scale image edge detection ideological eigenvalues scattered data analysis, these features will generate texture characteristic curve values tessellation, thus forming a multi-resolution mesh model structure; After testing, the technology is not only surface reconstruction short time, while the constructed subdivision surfaces can reflect the characteristics of the original details of the data.

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Periodical:

Advanced Materials Research (Volumes 805-806)

Pages:

1933-1936

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.805-806.1933

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Online since:

September 2013

Authors:

Tong Tong Zhu, Gang Xu, Ming Cong Ma, Xing Ye Liu

Keywords:

Binary Tree, Scattered Data, Surface Reconstruction, Texture

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References

[1] Peters J: Local smooth surface interpolation: a classification, Computer Aided Geometric Design, 1990, 7(1-4): 191-196.

DOI: 10.1016/0167-8396(90)90030-u

Google Scholar

[2] Guo B, Menon J, Willette B: Surface Reconstruction Using Alpha Shapes, Computer Graphics forum, 1997, 16(4): 177~190.

DOI: 10.1111/1467-8659.00178

Google Scholar

[3] Mo CL, Tan JR, Zhang SY: Adaptive linear neural network based fractal generation of free surface, Journal of Software, 2001, 12(4): 592~598 (in Chinese with English abstract).

Google Scholar

[4] Wang Q, Wang RQ, Bao HJ, Peng QS: A fast progressive surface reconstruction algorithm for unorganized points, Journal of Software, 2000, 11(9): 1221~1227 (in Chinese with English abstract).

Google Scholar

[5] Zhang Shunde oriented Rapid Prototyping Reverse Engineering a number of key technology research [D]. Xi'an: Xi'an Jiaotong University, (2002).

Google Scholar