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Proceedings Paper

3D visual surface reconstruction based on wavelet decomposition and fractal interpolation
Author(s): Hanqiang Cao; Guang-Xi Zhu; Yaoting Zhu; Zhaoqun Zhang; Rujun Chen; Xutao Li; Hongyan Zhao
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Paper Abstract

Traditional algorithms of 3D surface reconstruction include iteration and linear interpolation and surface fitting technique etc. These methods are mainly suitable for regular shapes and smooth surfaces. For scenes with affluent texture, these methods can't preserve their statistical characteristics. A new method combining wavelet decomposition with fractal interpolation for 3D surface reconstruction is proposed in this paper. For 3D surface reconstruction purposes, the wavelet decomposition extracts strong image self-similar characteristics that can be utilized to three dimension surface reconstruction. With a fractal interpolation, we can generate the practical simulation of three dimension visual surfaces. Our results indicate a good approximation of realistic looking mountainous terrain.

Paper Details

Date Published: 4 January 2002
PDF: 5 pages
Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); doi: 10.1117/12.453045
Show Author Affiliations
Hanqiang Cao, Huazhong Univ. of Science and Technology (China)
Guang-Xi Zhu, Huazhong Univ. of Science and Technology (China)
Yaoting Zhu, Huazhong Univ. of Science and Technology (China)
Zhaoqun Zhang, Huazhong Univ. of Science and Technology (China)
Rujun Chen, Huazhong Univ. of Science and Technology (China)
Xutao Li, Huazhong Univ. of Science and Technology (China)
Hongyan Zhao, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 4671:
Visual Communications and Image Processing 2002
C.-C. Jay Kuo, Editor(s)

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