AN EFFICIENT CODING FOR 3-D GEOMETRY DATA BASED ON SURFACE SIMPLIFICATION AND WAVELET TRANSFORM (WP-P3)

Author(s) : Hiroki Amada (Sohia University, Japan) Kenji Kasai (Sohia University, Japan) Yutaka Saito (Sohia University, Japan) Kouichi Fukuda (Sohia University, Japan) Akira Kawanaka (Sohia University, Japan)

Abstract : This paper presents a new coding method for 3-D geometry data using surface simplification and the wavelet transform. A polygonal mesh model is constructed from the connectivity information and the geometric data. We have previously presented a coding method for the structured geometry data structured on a 2-D lattice plane. In this paper we present a coding method for the structured geometry data including the vertices which were contracted by the surface simplification as extended nodes on the 2-D plane. We apply the shape-adaptive wavelet transform to the structured geometry data containing the extended nodes to obtain the wavelet coefficients. Defining the parent-children dependency of the wavelet coefficients among the different frequency bands in consideration of the extended nodes, we obtain the coded data by using SFQ. Some experiments for a statue showed that the proposed method gives good coding performance compared to TAGC scheme.

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