球状成分集合体のモデリングのためのジオメトリ認識点群クラスタリング
Yuta Muramatsu1, Syuhei Sato2,3, Kaisei Sakurai4
1Faculty of Computer and Information Sciences, Hosei University, Tokyo, 184-8584, Japan.
Scientific reports
|December 20, 2025
まとめ
本研究では、球状を仮定した集合体点群から個々の成分をセグメンテーションする新しい方法を提案する。このアプローチは、従来の形状再構成の限界を克服し、ブドウのようなアイテムを効果的に分離・モデル化する。
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