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| Authors | Szymon Rusinkiewicz, Marc Levoy |
| Language | English |
| Type | publique |
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| Summary | Explanation for Faster ICP Algorithm |
| Pages | |
| Parts | Introduction - Taxonomy of ICP Variants Comparision Methodology Comparision of ICP Variants High-Speed Variants Conclusion |
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| Authors | Kari Pulli |
| Language | English |
| Type | publique |
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| Summary | 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 con-straints 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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| Parts | Previous Work Pairwise Registration Multiview Registration Results Discussion Conclusions |
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| Authors | B. Glomann, X. Laboureux, S. Seeger |
| Language | English |
| Type | publique |
| Url | |
| Summary | A Methode to compare ICP Algorithms, 1 page article |
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