NDLI: A 3D Laplacian-driven parametric deformable model

Content Provider	IEEE Xplore Digital Library
Author	Tian Shen Xiaolei Huang Hongsheng Li Kim, E. Shaoting Zhang Junzhou Huang
Copyright Year	2011
Description	Author affiliation: Department of Computer Science and Engineering, University of Texas at Arlington, USA (Junzhou Huang) \|\| Department of Computer Science, Rutgers University, Piscataway, USA (Shaoting Zhang) \|\| Department of Computer Science and Engineering, Lehigh University, USA (Tian Shen; Xiaolei Huang; Hongsheng Li; Kim, E.)
Abstract	3D parametric deformable models have been used to extract volumetric object boundaries and they generate smooth boundary surfaces as results. However, in some segmentation cases, such as cerebral cortex with complex folds and creases, and human lung with high curvature boundary, parametric deformable models often suffer from over-smoothing or decreased mesh quality during model deformation. To address this problem, we propose a 3D Laplacian-driven parametric deformable model with a new internal force. Derived from a Mesh Laplacian, the internal force exerted on each control vertex can be decomposed into two orthogonal vectors based on the vertex's tangential plane. We then introduce a weighting function to control the contributions of the two vectors based on the model mesh's geometry. Deforming the new model is solving a linear system, so the new model can converge very efficiently. To validate the model's performance, we tested our method on various segmentation cases and compared our model with Finite Element and Level Set deformable models.
Starting Page	279
Ending Page	286
File Size	2046143
Page Count	8
File Format	PDF
ISBN	9781457711015
ISSN	15505499
e-ISBN	9781457711022
DOI	10.1109/ICCV.2011.6126253
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deformable models Force Vectors Three dimensional displays Finite element methods Brain modeling Laplace equations
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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