FAST Corner Detection -- Edward Rosten

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from： http://www.edwardrosten.com/work/fast.html

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:

Faster and better: A machine learning approach to corner detection

Any figures ma be reporduced with appropriate citations. For convenience, the FAST corner figure is available in a variety of formats here.
If you want to use FAST, it is available in a variety of forms below:

Pre-compiled executables
Source code for several languages
In the OpenCV library
In the LibCVD library

Questions about FAST

If you have any questions, try the FAQ,
or ask a question about FAST in the forum.

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]

iPhone

Success Labs port to the iPhone

App available in the app store. iOS 4 required.
Free for non-commercial use.

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

Python Source Code

2010-09-17 Release 1.0: Pure python implementation.
fast-python-src-1.0.tar.bz2 [973KB] fast-python-src-1.0.tar.gz [2.8MB] fast-python-src-1.0.zip [2.8MB]
The code is pure python, and requires numpy.
See the README for details.
License is the BSD license.

Standalone C soure code

Note: this code is stable, not abandoned. The algorithm is fixed and this is the basic reference implementation. It will only change if bugs are found.

Source code on github
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)
1.x series: fast-C-src-1.2.tar.gz [20KB] fast-C-src-1.2.zip [21KB].
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.

OpenCV

2009-08-31 FAST is now officially in OpenCV
2009-08-13 Released OpenCV compatible code
From the 2.x: 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.
You probably want to use the version in OpenCV now.
License is the BSD license.

MATLAB Code

If you have the vision toolbox, then it is built into MATLAB and
you don't need to download anything.

2010-10-04 Version 2.1 released
2010-03-02 Version 2.0 released
Version 2.1: fast-matlab-src-2.1.tar.bz2 [1.1MB] fast-matlab-src-2.1.tar.gz [3.3MB] fast-matlab-src-2.1.zip [3.3MB].

Fix critical infinite loop bug.

Version 2.0: fast-matlab-src-2.0.tar.bz2 [1.1MB] fast-matlab-src-2.0.tar.gz [3.3MB] fast-matlab-src-2.0.zip [3.3MB].

See the README for details.

Version 1.0: fast-matlab-src.tar.gz [172KB] fast-matlab-src.zip [171KB].

See the README for details.

Self contained code, complete with example.
License is the BSD license.
Contains exact detectors and FAST-ER detector.

iPhone Port

Success Labs port of FAST Corner Detection to the iPhone

Source code for the executables

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

FAST in libCVD

This is the recommended source for FAST, and often has SSE accelerated versions.
License is LGPL

Build your own FAST detector

There are several options. The easiest is to use an learned detector, but output it in a new language. The FAST-ER code below contains pre-made trees in an easy to use format and a number of code generators.
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 the FAST-ER code provides programs for training new FAST-N detectors as well as FAST-ER detectors.
Or, you can use the original version, from the 2006 paper:

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:

Fork me on github: https://github.com/edrosten/fast-er
FAST-ER 1.5:fast-er-1.5.tar.gz [3.9MB] fast-er-1.5.tar.bz2 [4.0MB] fast-er-1.5.tar.xz [3.9MB] fast-er-1.5.zip [4.0MB] 2013-05-21

Fix for missing LAPACK problem
Fix for new GVars3 library

FAST-ER 1.4: fast-er-1.4.tar.gz [3.9MB] fast-er-1.4.tar.bz2 [3.9MB] fast-er-1.4.zip [4.0MB] 2010-10-04

Fix infinite loop bug in generated matlab code

FAST-ER 1.3: fast-er-1.3.tar.gz [3.9MB] fast-er-1.3.tar.bz2 [3.9MB] fast-er-1.3.zip [4.0MB] 2010-09-17

Added Python code generator.

FAST-ER 1.2: fast-er-1.2.tar.gz [3.0MB] fast-er-1.2.tar.bz2 [3.0MB] fast-er-1.2.zip [3.0MB]

Fix broken MATLAB detectors.

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.

People who use FAST

If you use FAST in your project, let me know and I'll put a link to it right here.

Oded Ben-Dov's port to the iPhone
Parallel Tracking and Mapping
Carel van Wyk: Markerless Augmented Reality on iPhone 3Gs
Qualcomm Incorporated
Extra Reality Limited

Acknowledgements

I would like to additionally thank Gabriel Brostow for
help preparing this web page and the test executables.

Updated September 12th 2015, 12:02