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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:

FAST-ER is now accepted for publication:

Faster and better: A machine learning approach to corner detection

Precompiled FAST binaries

FAST is available precompiled for a wide variety of platforms:

Linux
- Linux (x86): fast-Linux-i686.tar.gz [1.6MB]
- Linux (x86-64): fast-Linux-x86_64.tar.gz [992KB]
- Linux (PPC): fast-Linux-ppc.tar.gz [1.7MB]
Windows
- Win32 (x86): fast-Win32-i686.zip [939KB]
MacOS X
- OSX (PPC): fast-Darwin-ppc.tar.gz [245KB]
Solaris
- Solaris (UltraSPARC): fast-SunOS-sun4.tar.gz [2.3MB]
Other
- FreeBSD (x86): fast-FreeBSD-i686.tar.gz [816KB]
- IRIX (mips): fast-IRIX-mips.tar.gz [2.2MB]

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)

Standalone C source code (1.x series): fast-C-src-1.2.tar.gz [20KB] fast-C-src-1.2.zip [21KB].
Standalone C source code (2.x series): fast-C-src-2.1.tar.gz [24KB] fast-C-src-2.1.zip [25KB].
- This code has no dependencies and works with a C or C++ compiler.
- See the README for details.
- License is the BSD license.
- Previous versions and ChangeLog are available here.
2009-08-13 OpenCV compatible code (from the 2.x standalone code): fast_opencv-1.0.tar.gz [28KB] fast_opencv-1.0.zip [29KB]
- This code works with OpenCV and accepts CvArr types.
- See the README for details.
- License is the BSD license.
MATLAB source code: fast-matlab-src.tar.gz [172KB] fast-matlab-src.zip [171KB].
- Self contained code, complete with example.
- See the README for details.
- License is the BSD license.
FAST Test program (binaries provided above): fast-test-src.tar.gz [3.7KB]
- Requires libCVD 13/02/2006 or newer (for FAST detection code etc)
- License is BSD
FAST in libCVD
- This is the recommended source for FAST.
- License is LGPL

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.

learn_FAST-20060307.tar.gz [18KB]
View the README
This is distributed under the GPL.

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:

FAST-ER 1.1: fast-er-1.1.tar.gz [3.0MB] fast-er-1.1.tar.bz2 [3.0MB] fast-er-1.1.zip [3.0MB]
- Updated to compile against TooN-2, newer GVars3 and newer GCC
FAST-ER 1.0: fast-er-1.0.tar.gz [3.3MB] fast-er-1.0.tar.bz2 [3.2MB]

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 December 13^th 2009, 16:33