Shape registration with directional data

作者：

Highlights：

• We extend the L2 registration framework to include directional data.

• We model the directional data using von Mises Fisher kernels.

• We propose 4 cost functions for shape registration based on this modelling.

• Our method compares well with State of the Art techniques.

摘要

•We extend the L2 registration framework to include directional data.•We model the directional data using von Mises Fisher kernels.•We propose 4 cost functions for shape registration based on this modelling.•Our method compares well with State of the Art techniques.

论文关键词：Shape registration,Directional information,Von Mises-Fisher,L2 registration

论文评审过程：Received 29 August 2017, Revised 10 January 2018, Accepted 18 February 2018, Available online 19 February 2018, Version of Record 10 March 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.02.021