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 <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
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

Downloads:

Reference manual: image.CornerDetectionF9.pdf
Package source: image.CornerDetectionF9_0.1.0.tar.gz
Windows binaries: r-devel: image.CornerDetectionF9_0.1.0.zip, r-devel-UCRT: 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-release (x86_64): image.CornerDetectionF9_0.1.0.tgz, r-oldrel: image.CornerDetectionF9_0.1.0.tgz

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