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SparseVFC: Sparse Vector Field Consensus for Vector Field Learning

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The SparseVFC package is an R implementation of the sparse vector field consensus (SparseVFC) algorithm (Ma et al., 2013 https://doi.org/10.1016/j.patcog.2013.05.017) for robust vector field learning. Largely translated from the Matlab functions in https://github.com/jiayi-ma/VFC.

See the vignette of the package for a demonstration.

Installation

You can install the released version of SparseVFC from CRAN with:

install.packages("SparseVFC")

You can install the development version of SparseVFC from GitHub with:

# install.packages("devtools")
devtools::install_github("Sciurus365/SparseVFC")

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.