|
Abstract
|
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
Submitted: November 28, 2011
Accepted: January 04, 2012
Published: 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.
Key words: Kinematics significance, mesh skeleton, skeleton map, viewpoint selection, , ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
Zhenfeng SHI, Liyang YU, Ahmed A. Abd El-Latif, Dan LE and Xiamu NIU, . A Kinematics Significance Based Skeleton Map for Rapid Viewpoint Selection. Research Journal of Applied Sciences, Engineering and Technology, (17): 2887-2892.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
