fast: perform FAST feature detection on an image.

Edward Rosten

For more information on the FAST detector, visit the FAST home page at
http://mi.eng.cam.ac.uk/~er258/work/fast.html

If you use this in academic work, then please cite the following two papers:
    Fusing Points and Lines for High Performance Tracking, E. Rosten and T. Drummond, ICCV 2005
    Machine learning for high-speed corner detection, E. Rosten and T. Drummond, ECCV 2006
The Bibtex entries are:

@inproceedings{rosten_2005_tracking,
    title       =    "Fusing points and lines for high performance tracking.",
    author      =    "Edward Rosten and Tom Drummond",
    year        =    "2005",
    month       =    "October",
    pages       =    "1508--1511",
    volume      =    "2",
    booktitle   =    "IEEE International Conference on Computer Vision",
    notes       =    "Oral presentation",
    url         =    "http://mi.eng.cam.ac.uk/~er258/work/rosten_2005_tracking.pdf"
}

@inproceedings{rosten_2006_machine,
    title       =    "Machine learning for high-speed corner detection",
    author      =    "Edward Rosten and Tom Drummond",
    year        =    "2006",
    month       =    "May",
    booktitle   =    "European Conference on Computer Vision (to appear)",
    notes       =    "Poster presentation",
    url         =    "http://mi.eng.cam.ac.uk/~er258/work/rosten_2006_machine.pdf"
}

Usage:

fast [ -hlnsbt ] [input_image [output_file]]

Options:

input_image        Input filename (default is stdin)
output_file        Output filename (default is stdout)
-l                 Output a list of corners (instead of an image)
-t X               Set threshold to X. Default is 20
-n X               Use X point fast (allowed range is 9--12, default is 9)
-s                 Perform nonmaximal suppression
-b                 Display bibtex entries
-h                 Display help message

Supported file types are: BMP, JPEG, TIFF (reading), PNM, EPS (writing--high
quality output).

example:

fast picture.jpg detected_corners.jpg