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Fifth International Conference on Computer and Information Technology (CIT'05)
Progressive Matching Based On Segmentation for 3D reconstruction
Shanghai, China
September 21-September 23
ISBN: 0-7695-2432-X
ASCII Text
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Yong Zhuang, Ma Ma, Wei Jun, Liu Liu, "Progressive Matching Based On Segmentation for 3D reconstruction," Computer and Information Technology, International Conference on, pp. 575-579, Fifth International Conference on Computer and Information Technology (CIT'05), 2005.
 
 
BibTex
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@article{ 10.1109/CIT.2005.157,
author = {Yong Zhuang and Ma Ma and Wei Jun and Liu Liu},
title = {Progressive Matching Based On Segmentation for 3D reconstruction},
journal ={Computer and Information Technology, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2432-X},
pages = {575-579},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIT.2005.157},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer and Information Technology, International Conference on
TI - Progressive Matching Based On Segmentation for 3D reconstruction
SN - 0-7695-2432-X
SP575
EP579
A1 - Yong Zhuang,
A1 - Ma Ma,
A1 - Wei Jun,
A1 - Liu Liu,
PY - 2005
KW - dense match
KW - GCPS
KW - segmentation
KW - correlation
VL - 0
JA - Computer and Information Technology, International Conference on
ER -
 
Yong Zhuang, Shenyang Institute of Automation, Chinese Academy of Sciences
Ma Ma, Graduate School of the Chinese Academy of Sciences
Wei Jun, Shenyang Institute of Automation, Chinese Academy of Sciences
Liu Liu, Shenyang Institute of Automation, Chinese Academy of Sciences

Dense matching plays an important role for 3D Scene reconstruction. A simple rectified algorithm is given in this paper. Then the new matching algorithm starts from GCPS as seeds with rectified stereo pairs. First color segment is used to capture disparity discontinuity and the reliable seed point from GCPS which is computed by using fast ZNCC based on asymmetric window can propagate the other correspondence points according to continuity constraint in each region. The algorithm is demonstrated on standard images pairs and shows better applications on 3D reconstruction.

Index Terms:
dense match, GCPS, segmentation, correlation
Citation:
Yong Zhuang, Ma Ma, Wei Jun, Liu Liu, "Progressive Matching Based On Segmentation for 3D reconstruction," cit, pp.575-579, Fifth International Conference on Computer and Information Technology (CIT'05), 2005
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