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 |
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-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 |
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