ネットワーク空間分割モデルを用いた3次元形状データの圧縮法(<論文特集>3次元映像情報メディア技術)

概要

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This paper describes a new data compression method for spatial partitioning representation which gives a higher data compression ratio than conventional methods. To obtain high data compression, we introduce the Network model, which performs fast geometric operations for spatial partitioning representation. The Network model represents a shape by using only voxels on the surfaces. These voxels connect with each other to make a network structure. The model compresses data simply for spatial partitioning representation and has a better compression ratio than the Octree model. Moreover, the proposed method can eliminate a large quantity of voxel from Network model. The resulting compression ratio is better than the three-dimensional runlength approach. Experimental results show that the method is effective for compressing data for spatial partitioning representation and achieves a high compression ratio.
社団法人映像情報メディア学会の論文
1998-03-20