苏志勋

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:数学科学学院

学科:计算数学

办公地点:创新园大厦(海山楼)B1313

联系方式:84708351-8093

电子邮箱:zxsu@dlut.edu.cn

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Hierarchical feature subspace for structure-preserving deformation

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论文类型:期刊论文

发表时间:2013-02-01

发表刊物:COMPUTER-AIDED DESIGN

收录刊物:SCIE、EI

卷号:45

期号:2

页面范围:545-550

ISSN号:0010-4485

关键字:Structure-preserving deformation; Feature subspace; Energy optimization; Reconstruction

摘要:This paper aims to propose a new framework for structure-preserving deformation, which is interactive, stable, and easy to use. The deformation is characterized by a nonlinear optimization problem that retains features and structures while allowing user-input external forces. The proposed framework consists of four major steps: feature analysis, ghost construction, energy optimization, and reconstruction. We employ a local structure-tensor-based feature analysis to acquire prior knowledge of the features and structures, which can be properly enforced throughout the deformation process. A ghost refers to a hierarchical feature subspace of the shape. It is constructed to control the original shape deformation in a user-transparent fashion, and speed up our algorithm while best accommodating the deformation. A feature-aware reconstruction is devised to rapidly map the deformation in the subspace back to the original space. Our user interaction is natural and friendly; far fewer point constraints and click-and-drag operations are necessary to achieve the flexible shape deformation goal. Various experiments are conducted to demonstrate the ease of manipulation and high performance of our method. (C) 2012 Elsevier Ltd. All rights reserved.