PowerRTF: Power Diagram based Restricted Tangent Face for Surface Remeshing

doi:10.1111/cgf.14897

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	PowerRTF: Power Diagram based Restricted Tangent Face for Surface Remeshing
	Yao, Yuyou 4; Liu, Jingjing 4; Fei, Yue 4; Wu, Wenming 4; Zhang, Gaofeng 4; Yan, Dong-Ming 1,2,3; Zheng, Liping 4
刊名	COMPUTER GRAPHICS FORUM
	2023-08-10
页码	16
关键词	Computing methodologies ? Computer graphics Shared memory algorithms
ISSN号	0167-7055
DOI	10.1111/cgf.14897
通讯作者	Zheng, Liping(zhenglp@hfut.edu.cn)
英文摘要	Triangular meshes of superior quality are important for geometric processing in practical applications. Existing approximative CVT-based remeshing methodology uses planar polygonal facets to fit the original surface, simplifying the computational complexity. However, they usually do not consider surface curvature. Topological errors and outliers can also occur in the close sheet surface remeshing, resulting in wrong meshes. With this regard, we present a novel method named PowerRTF, an extension of the restricted tangent face (RTF) in conjunction with the power diagram, to better approximate the original surface with curvature adaption. The idea is to introduce a weight property to each sample point and compute the power diagram on the tangent face to produce area-controlled polygonal facets. Based on this, we impose the variable-capacity constraint and centroid constraint to the PowerRTF, providing the trade-off between mesh quality and computational efficiency. Moreover, we apply a normal verification-based inverse side point culling method to address the topological errors and outliers in close sheet surface remeshing. Our method independently computes and optimizes the PowerRTF per sample point, which is efficiently implemented in parallel on the GPU. Experimental results demonstrate the effectiveness, flexibility, and efficiency of our method.
资助项目	National Natural Science of Foundation of China[61972128] ; National Natural Science of Foundation of China[62172415] ; National Key Research and Development Plan[2022YFC3900800]
WOS关键词	CENTROIDAL VORONOI TESSELLATIONS ; EFFICIENT COMPUTATION
WOS研究方向	Computer Science
语种	英语
出版者	WILEY
WOS记录号	WOS:001046213700001
资助机构	National Natural Science of Foundation of China ; National Key Research and Development Plan
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54029]
专题	多模态人工智能系统全国重点实验室
通讯作者	Zheng, Liping
作者单位	1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit NLPR, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China 4.Hefei Univ Technol, Sch Comp Sci & Informat Engn, Hefei, Peoples R China
推荐引用方式 GB/T 7714	Yao, Yuyou,Liu, Jingjing,Fei, Yue,et al. PowerRTF: Power Diagram based Restricted Tangent Face for Surface Remeshing[J]. COMPUTER GRAPHICS FORUM,2023:16.
APA	Yao, Yuyou.,Liu, Jingjing.,Fei, Yue.,Wu, Wenming.,Zhang, Gaofeng.,...&Zheng, Liping.(2023).PowerRTF: Power Diagram based Restricted Tangent Face for Surface Remeshing.COMPUTER GRAPHICS FORUM,16.
MLA	Yao, Yuyou,et al."PowerRTF: Power Diagram based Restricted Tangent Face for Surface Remeshing".COMPUTER GRAPHICS FORUM (2023):16.