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Effective scaling registration approach by imposing emphasis on scale factor
Author(s) -
Xu Siyu,
Zhu Jihua,
Li Yaochen,
Wang Jun,
Lu Huimin
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2017.4583
Subject(s) - scaling , robustness (evolution) , emphasis (telecommunications) , computer science , scale (ratio) , algorithm , point (geometry) , scale factor (cosmology) , mathematics , mathematical optimization , telecommunications , biochemistry , chemistry , physics , geometry , cosmology , quantum mechanics , metric expansion of space , dark energy , gene
This Letter proposes an effective approach for the scaling registration of point sets. By imposing the emphasis on the scale factor, the authors design a novel objective function, which can avoid the phenomenon that the scale factor converges to zero. Subsequently, the well‐designed function is optimised by the proposed scaling iterative closest point algorithm, which can calculate the optimal scaling transformation by iterations. The proposed approach is validated on public data sets, demonstrating its superiority over previous approaches on efficiency and robustness.

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