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image.CornerDetectionF9: Find Corners in Digital Images with FAST-9

An implementation of the "FAST-9" corner detection algorithm explained in the paper 'FASTER and better: A machine learning approach to corner detection' by Rosten E., Porter R. and Drummond T. (2008), available at <doi:10.48550/arXiv.0810.2434>. The package allows to detect corners in digital images.

Version: 0.1.0
Imports: Rcpp (≥ 0.12.8)
LinkingTo: Rcpp
Suggests: pixmap, magick
Published: 2020-07-27
DOI: 10.32614/CRAN.package.image.CornerDetectionF9
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Julien Cayzac [ctb, cph]
Maintainer: Jan Wijffels <jwijffels at bnosac.be>
License: BSD_2_clause + file LICENSE
URL: https://github.com/bnosac/image
NeedsCompilation: yes
Materials: README
CRAN checks: image.CornerDetectionF9 results

Documentation:

Reference manual: image.CornerDetectionF9.pdf

Downloads:

Package source: image.CornerDetectionF9_0.1.0.tar.gz
Windows binaries: r-devel: image.CornerDetectionF9_0.1.0.zip, r-release: image.CornerDetectionF9_0.1.0.zip, r-oldrel: image.CornerDetectionF9_0.1.0.zip
macOS binaries: r-release (arm64): image.CornerDetectionF9_0.1.0.tgz, r-oldrel (arm64): image.CornerDetectionF9_0.1.0.tgz, r-release (x86_64): image.CornerDetectionF9_0.1.0.tgz, r-oldrel (x86_64): image.CornerDetectionF9_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=image.CornerDetectionF9 to link to this page.

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.