２値ボクセルからの境界表現モデルの自動生成に関する一手法

Abstract

In recent years, the voxel model has attracted attention as a data structure for geometric modelers. Designers can define shape models more effectively if they convert a voxel model into a boundary representation model. In general, the Marching Cubes method is used for this. However, the number of meshes generated by the Marching Cubes method is enormous, and this mesh data is unsuitable for a shape model. In this paper, we propose a technique to extract features from voxel data with a morphology operator. Our method reconstructs the meshes that were generated by the Marching Cubes method and uses their features while reducing the number of meshes. Furthermore, we propose an extended QEM to be used in the shape simplification field. Our method defines the error allowance range in the original voxel data. This gives an effective guarantee of precision for using the original voxel data. Our experimental results show that the proposed method is valid for reducing meshes.