Sparse Vector Field Consensus for Vector Field Learning

The sparse vector field consensus (SparseVFC) algorithm (Ma et al., 2013 ) for robust vector field learning. Largely translated from the Matlab functions in < https://github.com/jiayi-ma/VFC>.


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")

Reference manual

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install.packages("SparseVFC")

0.1.2 by Jingmeng Cui, 3 years ago


https://github.com/Sciurus365/SparseVFC


Report a bug at https://github.com/Sciurus365/SparseVFC/issues


Browse source code at https://github.com/cran/SparseVFC


Authors: Jingmeng Cui [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports pdist, purrr

Suggests ggplot2, dplyr, tibble, rmarkdown, grid, knitr


Imported by fitlandr.


See at CRAN