Simple primitive recognition via hierarchical face clustering  

作　　者：Xiaolong Yang Xiaohong Jia 

机构地区：[1]Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China [2]University of Chinese Academy of Sciences,Beijing 100049,China

出　　处：《Computational Visual Media》2020年第4期431-443,共13页计算可视媒体（英文版）

基　　金：the National Natural Science of Foundation for Outstanding Young Scholars(12022117);the National Natural Science Foundation of China(61872354);the Beijing Natural Science Foundation(Z190004);the Intelligent Science and Technology Advanced subject project of University of Chinese Academy of Sciences(115200S001)。

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.

关 键 词：quadric primitive extraction MESH hierarchical clustering 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]