Fuzzy correspondences guided Gaussian mixture model for point set registration
作者:
Highlights:
• The proposed fuzzy correspondences guided Gaussian mixture model for registration.
• Soft-assignment strategy is used to construct fuzzy correspondences.
• The proposed method is robust to data degradations and non-rigid transformation.
摘要
•The proposed fuzzy correspondences guided Gaussian mixture model for registration.•Soft-assignment strategy is used to construct fuzzy correspondences.•The proposed method is robust to data degradations and non-rigid transformation.
论文关键词:Point matching,Point set registration,Fuzzy correspondences,Mixture model,Kernel method
论文评审过程:Received 29 March 2017, Revised 9 September 2017, Accepted 11 September 2017, Available online 12 September 2017, Version of Record 4 October 2017.
论文官网地址:https://doi.org/10.1016/j.knosys.2017.09.016