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FAST Corner Detection -- Edward Rosten
Try FAST Today!
If you use FAST in published academic work then please cite both of the following papers:
- Fusing points and lines for high performance tracking.
- Machine learning for high-speed corner detection.
FAST-ER is now accepted for publication:
Precompiled FAST binaries
FAST is available precompiled for a wide variety of platforms:
- Linux
- Windows
- MacOS X
- Solaris
- Other
The FAST binary accepts an image as input and output image with corners drawn on or a list of corner locations.
The threshold, number of points in the detector (9 to 12) and nonmaximal suppression can be selected.
See the unix README or Windows README for more details.
Bugs
The windows executable has problems dealing widths which are not a multiple of 4. This bug does
not affect the unix exectuables or the libraries.
FAST Source code
- 2009-01-12 Release 2.1 (bug fixes, most of the corners were not recorded)
- 2008-11-28 Release 1.2 (bug fixes) and 2.0 (new interface and scoring function)
Build your own FAST detector
If you wish to build your own FAST detector (e.g. trained on your own data, targeting another language, or
using some new optimizations), then you can download the training source code.
Compare your detector to FAST
If you wish to compare your detector to FAST, then there is a
set of registered images available for download. These
were used for testing FAST in Machine learning for high-speed corner detection..
Source code for performing the comparisons is available in the FAST-ER distribution below.
FAST-ER: Enhanced repeatability
Source code for FAST-ER is now available:
This code is useful if you want to:
- Train FAST-ER detectors.
- Train FAST detectors.
- Create detectors for new languages.
- Compare the repeatability of detectors.
Documentation is available here.
Acknowledgements
I would like to additionally thank Gabriel Brostow for help preparing this web page and
the test executables.
Updated August 13th 2009, 14:37
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