NDLI: Vertex-level three-dimensional shape deformability measurement based on line segment advection

Content Provider	IET Digital Library
Author	Li, Yuelong Hancock, Edwin R. Xiao, Zhitao Geng, Lei Wu, Jun Zhang, Fang Li, Chunqing
Abstract	Measuring the intrinsic deformability of arbitrary small-scale subdivision of a shape is an interesting meanwhile valuable research topic. Such measurement can be directly utilised as a reliable criteria to partition shape into small components and then assist in shape modelling and description. Compared to global modelling, through constructing subdivision-based complex shape description, the accuracy and flexibility of shape representation can be significantly improved. In this study, the authors propose a line segment advection (LSA)-based vertex-level three-dimensional shape deformability measuring method. It can highlight the deformability characteristics of each shape part in any scale and size. The measurement is realised mainly based on the advection of line segments connecting neighbouring shape mesh vertices. For 3D shapes, since the line segment of triangular mesh facet directly reflects the minimal neighbourhood relationships and mesh microstructure, its advection can capture the finest details of shape deformability. Then, after transferring that information into neighbouring vertices, a vertex-level shape deformability measurement can be acquired. Besides, to demonstrate the value of the proposed measuring method to shape partitioning and piecewise shape modelling, a straightforward shape partitioning method is introduced as well. Extensive experiments on three publicly available databases are conducted to verify the effectiveness of proposed methods.
Starting Page	520
Ending Page	526
Page Count	7
ISSN	17519632
Volume Number	12
e-ISSN	17519640
Issue Number	Issue 4, Jun (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/12/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2017.0500
Journal	IET Computer Vision
Publisher Date	2018-01-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Shapes Computer Vision Computer Vision And Image Processing Technique Data Handling Technique Deformation Image Recognition Line Segment Advection Pattern Clustering Shape Measurement Spatial Variables Measurement Unsupervised Clustering Vertex-level Three-dimensional Shape Deformability Measurement
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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