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Proceedings Paper

Efficient coding for 3D shape data considering normal vectors on the surface model
Author(s): Tetsu Kajita; Kenji Kasai; Yutaka Saito; Koichi Fukuda; Akira Kawanaka
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Paper Abstract

In order to compress 3-D shaped data, this paper presents an adaptive coding method using 2-D signal compression technique for the structured data on a 2-D plane, maintaining the adjacent relation of each vertex of the 3-D model. This structured data on a 2-D plane is not rectangular, so we apply Shape Adaptive Wavelet Transform to compress the structured data on a 2-D plane. And we change the weight for wavelet coefficients adaptively for each frequency band, considering the normal vectors on the surface model rendering. The experiments show that the rendering characteristics can be improved by using the proposed method.

Paper Details

Date Published: 13 November 2003
PDF: 10 pages
Proc. SPIE 5207, Wavelets: Applications in Signal and Image Processing X, (13 November 2003); doi: 10.1117/12.503858
Show Author Affiliations
Tetsu Kajita, Sophia Univ. (Japan)
Kenji Kasai, Sophia Univ. (Japan)
Yutaka Saito, Sophia Univ. (Japan)
Koichi Fukuda, Sophia Univ. (Japan)
Akira Kawanaka, Sophia Univ. (Japan)


Published in SPIE Proceedings Vol. 5207:
Wavelets: Applications in Signal and Image Processing X
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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