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Inverse Validation for Accurate Range Image Registration with Structured Data
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104799516th International Conference on Patt ...
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Yonghuai Liu, Fred Labrosse, "Inverse Validation for Accurate Range Image Registration with Structured Data," Pattern Recognition, International Conference on, vol. 3, pp. 30537, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1047995,
author = {Yonghuai Liu and Fred Labrosse},
title = {Inverse Validation for Accurate Range Image Registration with Structured Data},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2002},
issn = {1051-4651},
pages = {30537},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1047995},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - Inverse Validation for Accurate Range Image Registration with Structured Data
SN - 1051-4651
SP
EP
A1 - Yonghuai Liu,
A1 - Fred Labrosse,
PY - 2002
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Yonghuai Liu, University of Wales
Fred Labrosse, University of Wales
Automatic range image registration is a fundamental yet extremely difficult problem in machine vision. In this paper, we extend a promising registration algorithm (GICP) [6] for structured image data. The extended algorithm is based on a relaxation method combining the motion estimation results from the possible correspondences established by the GICP algorithm and those that are further ev aluated by an in verse validation procedure. A comparative study based on real images has shown that the extended algorithm is more accurate and robust than the original algorithm.
Citation:
Yonghuai Liu, Fred Labrosse, "Inverse Validation for Accurate Range Image Registration with Structured Data," icpr, vol. 3, pp.30537, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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