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Simple primitive recognition via hierarchical face clustering

文献类型：期刊论文

作者Yang, Xiaolong1,2; Jia, Xiaohong1,2
刊名COMPUTATIONAL VISUAL MEDIA
出版日期2020-12-01
卷号6期号:4页码:431-443
ISSN号2096-0433
关键词quadric primitive extraction mesh hierarchical clustering
DOI10.1007/s41095-020-0192-6
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.
资助项目National Natural Science of Foundation for Outstanding Young Scholars[12022117] ; National Natural Science Foundation of China[61872354] ; Beijing Natural Science Foundation[Z190004] ; Intelligent Science and Technology Advanced subject project of University of Chinese Academy of Sciences[115200S001]
WOS研究方向Computer Science
语种英语
出版者SPRINGERNATURE
WOS记录号WOS:000648692500005
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/58680]  
专题中国科学院数学与系统科学研究院
通讯作者Jia, Xiaohong
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Xiaolong,Jia, Xiaohong. Simple primitive recognition via hierarchical face clustering[J]. COMPUTATIONAL VISUAL MEDIA,2020,6(4):431-443.
APA Yang, Xiaolong,&Jia, Xiaohong.(2020).Simple primitive recognition via hierarchical face clustering.COMPUTATIONAL VISUAL MEDIA,6(4),431-443.
MLA Yang, Xiaolong,et al."Simple primitive recognition via hierarchical face clustering".COMPUTATIONAL VISUAL MEDIA 6.4(2020):431-443.

入库方式： OAI收割

来源：数学与系统科学研究院

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