Simple primitive recognition via hierarchical face clustering

• 来源期刊: 计算可视媒体（英文版）
• 年，卷（期）: 2020,（4）
• 所属期刊栏目: RESEARCH ARTICLE
• 页码范围: 431-443
• 页数: 13页
• 语种: 英文

摘要

We present a simple yet efficient algorithm for recognizing simple quadric primitives (plane, sphere, cylinder, cone) from triangular meshes. Our approach is an improved version of a previous hierarchical clustering algorithm, which performs pairwise clustering of triangle patches from bottom to top. The key contributions of our approach include a strategy for priority and fidelity consideration of the detected primitives, and a scheme for boundary smoothness between adjacent clusters. Experimental results demonstrate that the proposed method produces qualitatively and quantitatively better results than representative state-of-the-art methods on a wide range of test data.