1102 高密度X線CT計測モデルからのユークリッド対称性認識(OS1-1 ディジタル設計・試作)

Abstract

We propose the method that detects Euclidean symmetries from scanned meshes of mechanical objects based on a combination of ICP and Region Growing algorithms. Our method can robustly detect Euclidean symmetries, including translation, rotation, and planar reflection, from noisy scanned meshes. Our method also can detect maximally large symmetries under the user specified tolerances from scanned meshes that contain many planar regions. The effectiveness of the method is verified by using various scanned meshes of mechanical objects.