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Range Image Registration Preserving Local Structures of Object Surfaces
Cambridge UK August 23-August 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.133410117th International Conference on Patt ...
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Ikuko Shimizu Okatani, Akihiro Sugimoto, "Range Image Registration Preserving Local Structures of Object Surfaces," Pattern Recognition, International Conference on, vol. 2, pp. 224-228, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1334101,
author = {Ikuko Shimizu Okatani and Akihiro Sugimoto},
title = {Range Image Registration Preserving Local Structures of Object Surfaces},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2004},
issn = {1051-4651},
pages = {224-228},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334101},
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 - Range Image Registration Preserving Local Structures of Object Surfaces
SN - 1051-4651
SP224
EP228
A1 - Ikuko Shimizu Okatani,
A1 - Akihiro Sugimoto,
PY - 2004
KW - null
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Ikuko Shimizu Okatani, Tokyo University of Agri. and Tech.
Akihiro Sugimoto, National Institute of Informatics
We propose a registration method for range images that preserves local structures of object surfaces. The method introduces shape patterns and a skewness of correspondences, both of which are extracted from the local surface nearby a point of interest in each image. The shape patterns are used to eliminate false corresponding pairs of surfaces, while the skewness is used to estimate the transformation that relates the coordinates between different range images. These two features enable us to estimate the transformation that preserves local structures of object surfaces.
Citation:
Ikuko Shimizu Okatani, Akihiro Sugimoto, "Range Image Registration Preserving Local Structures of Object Surfaces," icpr, vol. 2, pp.224-228, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004
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