Efficient coding for 3D shape data considering normal vectors on the surface model

Tetsu Kajita; Kenji Kasai; Yutaka Saito; Koichi Fukuda; Akira Kawanaka

doi:10.1117/12.503858

13 November 2003 Efficient coding for 3D shape data considering normal vectors on the surface model

Tetsu Kajita, Kenji Kasai, Yutaka Saito, Koichi Fukuda, Akira Kawanaka

Proceedings Volume 5207, Wavelets: Applications in Signal and Image Processing X; (2003) https://doi.org/10.1117/12.503858
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

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.

Citation Download Citation

Tetsu Kajita, Kenji Kasai, Yutaka Saito, Koichi Fukuda, and Akira Kawanaka "Efficient coding for 3D shape data considering normal vectors on the surface model", Proc. SPIE 5207, Wavelets: Applications in Signal and Image Processing X, (13 November 2003); https://doi.org/10.1117/12.503858

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KEYWORDS

Data modeling

3D modeling

Wavelets

Distortion

3D image processing

Image quality

Wavelet transforms

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