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Zhang, Su, Yang, Kun, Yang, Yang, Luo, Yi, Wei, Ziquan (2018) Non-rigid point set registration using dual-feature finite mixture model and global-local structural preservation. Pattern Recognition, 80. 183-195 doi:10.1016/j.patcog.2018.03.004

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Reference TypeJournal (article/letter/editorial)
TitleNon-rigid point set registration using dual-feature finite mixture model and global-local structural preservation
JournalPattern Recognition
AuthorsZhang, SuAuthor
Yang, KunAuthor
Yang, YangAuthor
Luo, YiAuthor
Wei, ZiquanAuthor
Year2018 (August)Volume80
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2018.03.004Search in ResearchGate
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Mindat Ref. ID9367407Long-form Identifiermindat:1:5:9367407:8
GUID0
Full ReferenceZhang, Su, Yang, Kun, Yang, Yang, Luo, Yi, Wei, Ziquan (2018) Non-rigid point set registration using dual-feature finite mixture model and global-local structural preservation. Pattern Recognition, 80. 183-195 doi:10.1016/j.patcog.2018.03.004
Plain TextZhang, Su, Yang, Kun, Yang, Yang, Luo, Yi, Wei, Ziquan (2018) Non-rigid point set registration using dual-feature finite mixture model and global-local structural preservation. Pattern Recognition, 80. 183-195 doi:10.1016/j.patcog.2018.03.004
In(2018) Pattern Recognition Vol. 80. Elsevier BV

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