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2012 (Vol. 4, Issue: 17)
Article Information:

A Kinematics Significance Based Skeleton Map for Rapid Viewpoint Selection

Zhenfeng SHI, Liyang YU, Ahmed A. Abd El-Latif, Dan LE and Xiamu NIU
Corresponding Author:  X. M. NIU 

Key words:  Kinematics significance, mesh skeleton, skeleton map, viewpoint selection, , ,
Vol. 4 , (17): 2887-2892
Submitted Accepted Published
November 28, 2011 January 04, 2012 September 01, 2012
Abstract:

Viewpoint selection has become a very active area of research during the last decade. Computation of good viewpoints is important in graph drawing, scene understanding, etc. A good viewpoint can give us rich information about a scene. In this study, we present a novel Kinematics Significance based Skeleton Map (KSSM) during iterative Laplacian contraction. Inspired by salient viewpoint selection, we propose a new rapid computation method based on a few initial viewpoints for iteration. It allows us to compute the final best viewpoint via Loop subdivision stencil rapidly for iterative decision under a threshold. Experimental results demonstrate that the KSSM can describe the topology information of 3D mesh effectively. It also presents the validity and effectiveness of viewpoint selection based on KSSM.
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  Cite this Reference:
Zhenfeng SHI, Liyang YU, Ahmed A. Abd El-Latif, Dan LE and Xiamu NIU, 2012. A Kinematics Significance Based Skeleton Map for Rapid Viewpoint Selection.  Research Journal of Applied Sciences, Engineering and Technology, 4(17): 2887-2892.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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