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Recent developments and trends in point set registration methods

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dc.creator Maiseli, Baraka J.
dc.creator Gu, Yanfeng
dc.creator Gao, Huijun
dc.date 2019-05-05T09:42:43Z
dc.date 2019-05-05T09:42:43Z
dc.date 2017
dc.date.accessioned 2021-05-03T13:17:00Z
dc.date.available 2021-05-03T13:17:00Z
dc.identifier 1047-3203
dc.identifier http://hdl.handle.net/20.500.11810/5195
dc.identifier.uri http://hdl.handle.net/20.500.11810/5195
dc.description Point set registration (PSR) is the process of computing a spatial transformation that optimally aligns pairs of point sets. The method helps to amalgamate multiple datasets into a common coordinate system. Because of their immense practical applications, several studies have attempted to address challenges inherent in the PSR problem. However, limited works exist to discuss recent developments, failures, and trends of the PSR methods. To date, a classical work of Tam et al., published in 2013, can be regarded as a comprehensive review paper for registration methods. Nevertheless, this work has inadequately revealed a range of possible knowledge gaps of the previous studies. Additionally, since the publication year of their work, more superior and state-of-the-art methods have been proposed. The present study surveys PSR approaches until 2017, and our primary focus is to expose central ideas and limitations of the methods to facilitate experts and practitioners advance the field.
dc.language en
dc.publisher Journal of Visual Communication and Image Representation
dc.relation DOI;10.1016/j.jvcir.2017.03.012
dc.subject Point matching
dc.subject Registration
dc.subject Performance
dc.subject Optimization
dc.subject Point set
dc.title Recent developments and trends in point set registration methods
dc.type Journal Article


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