Multiview registration for large datasets
Kari Pulli
Second International Conference on 3D Digital Imaging and Modeling
Abstract
In this paper we present a multiview registration method for aligning
range data. We first align scans pairwise with each other and use the
pairwise alignments as constraints that the multiview step enforces
while evenly diffusing the pairwise registration errors. This approach
is especially suitable for registering large data sets, since using
constraints from pairwise alignments does not require loading the
entire data set into memory to perform the alignment. The alignment
method is efficient, and it is less likely to get stuck into a local
minimum than previous methods, and can be used in conjunction with any
pairwise method based on aligning overlapping surface sections.
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