A Survey on Shape Correspondence

被引:402
作者
van Kaick, Oliver [1 ]
Zhang, Hao [1 ]
Hamarneh, Ghassan [1 ]
Cohen-Or, Daniel [2 ]
机构
[1] Simon Fraser Univ, Sch Comp Sci, Burnaby, BC V5A 1S6, Canada
[2] Tel Aviv Univ, Sch Comp Sci, Tel Aviv, Israel
基金
以色列科学基金会; 加拿大自然科学与工程研究理事会;
关键词
geometry processing; registration; shape analysis; semantic structure; NONRIGID REGISTRATION; 3D; SURFACE; RECONSTRUCTION; PARAMETERIZATION; SEGMENTATION; RECOGNITION; SIGNATURE; CONSENSUS; RETRIEVAL;
D O I
10.1111/j.1467-8659.2011.01884.x
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We review methods designed to compute correspondences between geometric shapes represented by triangle meshes, contours or point sets. This survey is motivated in part by recent developments in space-time registration, where one seeks a correspondence between non-rigid and time-varying surfaces, and semantic shape analysis, which underlines a recent trend to incorporate shape understanding into the analysis pipeline. Establishing a meaningful correspondence between shapes is often difficult because it generally requires an understanding of the structure of the shapes at both the local and global levels, and sometimes the functionality of the shape parts as well. Despite its inherent complexity, shape correspondence is a recurrent problem and an essential component of numerous geometry processing applications. In this survey, we discuss the different forms of the correspondence problem and review the main solution methods, aided by several classification criteria arising from the problem definition. The main categories of classification are defined in terms of the input and output representation, objective function and solution approach. We conclude the survey by discussing open problems and future perspectives. Keywords: geometry processing, registration, shape analysis, semantic structure
引用
收藏
页码:1681 / 1707
页数:27
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