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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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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.