Empirical mode decomposition on surfaces

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• 作者：Hui Wang^a ; ^b ; Zhixun Su^a ; ^{zxsu@dlut.edu.cn} ; Junjie Cao^a ; ^d ; Ye Wang^c ; Hao Zhang^b ; ^haoz@sfu.ca
• 关键词：Empirical mode decomposition ; Triangular meshes ; Filtering ; Feature-preserving smoothing
• 刊名：Graphical Models
• 出版年：2012
• 期刊代码：130_15240703
• 类别：cp
• 出版时间：July, 2012
• 卷：74
• 期：4
• 页码：173-183
• 文件大小：1957 K

摘要

Empirical Mode Decomposition (EMD) is a powerful tool for analysing non-linear and non-stationary signals, and has drawn a great deal of attentions in various areas. In this paper, we generalize the classical EMD from Euclidean space to the setting of surfaces represented as triangular meshes. Inspired by the EMD, we also propose a feature-preserving smoothing method based on extremal envelopes. The core of our generalized EMD on surfaces is an envelope computation method that solves a bi-harmonic field with Dirichlet boundary conditions. Experimental results show that the proposed generalization of EMD on surfaces works well. We also demonstrate that the generalized EMD can be effectively utilized in filtering scalar functions defined over surfaces and surfaces themselves.