CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Analyzing Surface Sampling Patterns Using the Localized Pair Correlation Function
Quan, Weize; Guo, Jianwei; Yan, Dong-Ming; Meng, Weiliang; Zhang Xiaopeng; Dong-Ming Yan
Source PublicationComputational Visual Media
2016
Volume2Issue:3Pages:219-230
AbstractPoint distributions with different characteristics have a crucial influence on graphics applications. Various analysis tools have been developed in recent years, mainly for blue noise sampling in Euclidean domains. In this paper, we present a new method to analyze the properties of general sampling patterns that are distributed on mesh surfaces. The core idea is to generalize to surfaces the pair correlation function (PCF) which has successfully been employed in sampling pattern analysis and synthesis in 2D and 3D. Experimental results demonstrate that the proposed approach can reveal correlations of point sets generated by a wide range of sampling algorithms. An acceleration technique is also suggested to improve the performance of the PCF.
KeywordSampling Pattern
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13999
Collection模式识别国家重点实验室_多媒体计算与图形学
Corresponding AuthorDong-Ming Yan
Recommended Citation
GB/T 7714
Quan, Weize,Guo, Jianwei,Yan, Dong-Ming,et al. Analyzing Surface Sampling Patterns Using the Localized Pair Correlation Function[J]. Computational Visual Media,2016,2(3):219-230.
APA Quan, Weize,Guo, Jianwei,Yan, Dong-Ming,Meng, Weiliang,Zhang Xiaopeng,&Dong-Ming Yan.(2016).Analyzing Surface Sampling Patterns Using the Localized Pair Correlation Function.Computational Visual Media,2(3),219-230.
MLA Quan, Weize,et al."Analyzing Surface Sampling Patterns Using the Localized Pair Correlation Function".Computational Visual Media 2.3(2016):219-230.
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