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Published Articles >> Table of Contents >> Abstract
Fourth International Conference on 3-D Digital Imaging and Modeling (3DIM '03)
p. 187
Evaluating Structural Constraints for Accurate Range Image Registration
Yonghuai Liu, The University of Wales, Aberystwyth
Baogang Wei, Zhejiang University
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IM.2003.1240249
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| Abstract |
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New technological developments in optics and electronics
are rendering laser scanning systems cheaper and more
accurate. Such systems can directly capture depth information
from objects simplifying range image analysis and
enlarging their applications scope. Accurate image registration
algorithms represent a pivotal aspect of range image
analysis which still require substantial improvements.
While a large number of algorithms have been proposed, it
is very important to compare the performance of different
registration algorithms so that good algorithms can be selected
for real applications. Unfortunately, most of these
algorithms are iterative with a number of parameters initialised
by users. The main disadvantages of these methods
are that these parameters are often context dependent.
Thus, while aiming to develop automatic registration algorithms
instead of comparing the registration algorithms
themselves, we compare the structural constraints based on
a single registration algorithm(GICP). A large number of
experiments using real range images demonstrate their effectiveness
on improving the GICP algorithm.
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 Additional Information
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Index Terms- Automatic range image registration, GICP,
structural constraints
Citation:
Yonghuai Liu, Baogang Wei,
"Evaluating Structural Constraints for Accurate Range Image Registration,"
3dim,
p. 187,
Fourth International Conference on 3-D Digital Imaging and Modeling (3DIM '03),
2003
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