Package: image.CornerDetectionF9 0.1.0

Jan Wijffels

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.

Authors:Jan Wijffels [aut, cre, cph], BNOSAC [cph], Julien Cayzac [ctb, cph]

image.CornerDetectionF9_0.1.0.tar.gz
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image.CornerDetectionF9.pdf |image.CornerDetectionF9.html
image.CornerDetectionF9/json (API)

# Install 'image.CornerDetectionF9' in R:
install.packages('image.CornerDetectionF9', repos = c('https://bnosac.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bnosac/image/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcpp

5.14 score 278 stars 7 scripts 163 downloads 1 exports 1 dependencies

Last updated 1 years agofrom:3a7ed58c3b. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 09 2025
R-4.5-win-x86_64OKFeb 09 2025
R-4.5-mac-x86_64OKFeb 09 2025
R-4.5-mac-aarch64OKFeb 09 2025
R-4.5-linux-x86_64OKFeb 09 2025
R-4.4-win-x86_64OKFeb 09 2025
R-4.4-mac-x86_64OKFeb 09 2025
R-4.4-mac-aarch64OKFeb 09 2025
R-4.3-win-x86_64OKFeb 09 2025
R-4.3-mac-x86_64OKFeb 09 2025
R-4.3-mac-aarch64OKFeb 09 2025

Exports:image_detect_corners

Dependencies:Rcpp