Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20360
Title: What is wrong with mesh PCA in coordinate direction normalization
Authors: Liu, H
Yan, J
Zhang, D 
Keywords: Coordinate direction normalization
Mesh PCA
Surface registration
Issue Date: 2006
Publisher: Elsevier
Source: Pattern recognition, 2006, v. 39, no. 11, p. 2244-2247 How to cite?
Journal: Pattern recognition 
Abstract: This work makes a detailed analysis on why using mesh PCA for coordinate direction normalization is always uncertainty in 3D surface registration. Our analysis takes the view of discrete signal statistical analyzing and is based on the specific process research of mesh PCA. Then we present a corrected method to improve mesh PCA effects. Such corrected method comes from the fact that the principal axes directions of 3D surface should be those in which the vertex distances are the longest among all 3D vertex distances. Corresponding experimental results on range scan data and synthetic models are provided.
URI: http://hdl.handle.net/10397/20360
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/j.patcog.2006.05.019
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

8
Last Week
0
Last month
0
Citations as of Nov 11, 2017

WEB OF SCIENCETM
Citations

4
Last Week
0
Last month
0
Citations as of Sep 6, 2017

Page view(s)

40
Last Week
1
Last month
Checked on Nov 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.