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Simple primitive recognition via hierarchical face clustering
Computational Visual Media ( IF 6.9 ) Pub Date : 2020-11-09 , DOI: 10.1007/s41095-020-0192-6
Xiaolong Yang , Xiaohong Jia

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.



中文翻译:

通过分层人脸聚类进行简单的原始识别

我们提出了一种简单而有效的算法,用于从三角形网格中识别简单的二次基元(平面,球体,圆柱体,圆锥体)。我们的方法是以前的层次聚类算法的改进版本,该算法从底部到顶部执行三角形补丁的成对聚类。我们方法的主要贡献包括优先考虑优先级和保真度的策略,以及相邻簇之间边界平滑的方案。实验结果表明,在广泛的测试数据上,所提出的方法在质量和数量上均优于代表性的最新方法。

更新日期:2020-11-09
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