了解更多信息请参阅出版类的论文

成员

Publication

[1]

Elmar Mair, Gregory D. Hager, Darius Burschka,

Michael Suppa, and Gerhard Hirzinger. Adaptive and generic corner

detection based on the accelerated segment test.

In Proceedings of the European Conference on

Computer Vision (ECCV'10), September 2010.

[

代码

The downloadable package includes the machine generated code for

AGAST5 (8 pixel mask), AGAST7s/d (12 pixel square and diamond

mask), OAST9 (16 pixel mask) together with an example of usage

(example code and example image). OAST stands for optimal

accelerated segment test. Due to the computational limitations, we

could not compute the binary decision tree for the 16 pixel mask

and the ternary decision tree does not allow any balancing. Thus

only the optimal decision tree for this mask has been

computed. Our non-maximum suppression uses the same principle as the one

implemented in the FAST package, but it is not sparse and about 40%

faster than the FAST implementation.

Copyright (C) 2010 Elmar

Mair The program you can download here is free software: you can

redistribute it and/or modify it under the terms of the GNU General

Public License as published by the Free Software Foundation, either

version 3 of the License, or (at your option) any later

version. This program is distributed in the hope that it will be useful,

but WITHOUT ANY WARRANTY; without even the implied warranty of

MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU

General Public License for more

details. You should have received a copy of the GNU General Public

License along with this program. If not,

see

You can download the code from AGAST @

SourceForge. A thread-safe C++ implementation can be found

at AGAST++ @

SourceForge (released under BSD v3).

If you are publishing a project using this software, please

refrence following publication:

@inproceedings{mair2010_agast,

title = "Adaptive and Generic Corner Detection Based on the Accelerated Segment Test",

author = "Elmar Mair and Gregory D. Hager and Darius Burschka and Michael Suppa and Gerhard Hirzinger",

year = "2010",

month = "September",

booktitle = "European Conference on Computer Vision (ECCV'10)",

url = "http://www6.in.tum.de/Main/ResearchAgast"

}

相关链接

FAST, Features from

Accelerated Segment Test - the first AST based corner detector

developed by Edward Rosten (et al.). This page provides

publications and source code.