SparseVFC: Sparse Vector Field Consensus for Vector Field Learning

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")
install.packages("SparseVFC", repos = c('https://sciurus365.r-universe.dev', 'https://cloud.r-project.org'))