Fast_detector
所属分类:图形图像处理
开发工具:Visual C++
文件大小:1141KB
下载次数:11
上传日期:2014-03-28 01:03:26
上 传 者:
slgao
说明: Fast 图像特征点提取法,这种算法能够快速的提取图像中的特征点,有很明显的优势
(Fast image feature extraction method, this algorithm can extract the image feature points, there are clear advantages)
文件列表:
Fast_detector\Debug\Fast_detector.exe (276480, 2014-02-10)
Fast_detector\Debug\Fast_detector.ilk (667900, 2014-02-10)
Fast_detector\Debug\Fast_detector.pdb (2124800, 2014-02-10)
Fast_detector\Fast_detector\cvfast.cpp (6260, 2009-08-13)
Fast_detector\Fast_detector\cvfast.h (242, 2009-08-13)
Fast_detector\Fast_detector\cv_fast_10.cc (149648, 2009-08-13)
Fast_detector\Fast_detector\cv_fast_11.cc (124862, 2009-08-13)
Fast_detector\Fast_detector\cv_fast_12.cc (99244, 2009-08-13)
Fast_detector\Fast_detector\cv_fast_9.cc (189234, 2009-08-13)
Fast_detector\Fast_detector\Debug\cl.command.1.tlog (29712, 2014-02-10)
Fast_detector\Fast_detector\Debug\CL.read.1.tlog (99552, 2014-02-10)
Fast_detector\Fast_detector\Debug\CL.write.1.tlog (5216, 2014-02-10)
Fast_detector\Fast_detector\Debug\cvfast.obj (97563, 2014-02-10)
Fast_detector\Fast_detector\Debug\cv_fast_10.obj (137293, 2014-02-10)
Fast_detector\Fast_detector\Debug\cv_fast_11.obj (123597, 2014-02-10)
Fast_detector\Fast_detector\Debug\cv_fast_12.obj (109285, 2014-02-10)
Fast_detector\Fast_detector\Debug\cv_fast_9.obj (160190, 2014-02-10)
Fast_detector\Fast_detector\Debug\Fast_detector.Build.CppClean.log (3689, 2014-01-30)
Fast_detector\Fast_detector\Debug\Fast_detector.exe.embed.manifest (406, 2014-01-30)
Fast_detector\Fast_detector\Debug\Fast_detector.exe.embed.manifest.res (472, 2014-01-30)
Fast_detector\Fast_detector\Debug\Fast_detector.exe.intermediate.manifest (381, 2014-02-10)
Fast_detector\Fast_detector\Debug\Fast_detector.lastbuildstate (93, 2014-02-10)
Fast_detector\Fast_detector\Debug\Fast_detector.log (9087, 2014-02-10)
Fast_detector\Fast_detector\Debug\Fast_detector.obj (117416, 2014-02-10)
Fast_detector\Fast_detector\Debug\Fast_detector.pch (1179648, 2014-02-10)
Fast_detector\Fast_detector\Debug\Fast_detector_manifest.rc (216, 2014-01-30)
Fast_detector\Fast_detector\Debug\link-cvtres.read.1.tlog (2, 2014-02-10)
Fast_detector\Fast_detector\Debug\link-cvtres.write.1.tlog (2, 2014-02-10)
Fast_detector\Fast_detector\Debug\link.13612-cvtres.read.1.tlog (2, 2014-02-10)
Fast_detector\Fast_detector\Debug\link.13612-cvtres.write.1.tlog (2, 2014-02-10)
Fast_detector\Fast_detector\Debug\link.13612.read.1.tlog (2, 2014-02-10)
Fast_detector\Fast_detector\Debug\link.13612.write.1.tlog (2, 2014-02-10)
Fast_detector\Fast_detector\Debug\link.command.1.tlog (4592, 2014-02-10)
Fast_detector\Fast_detector\Debug\link.read.1.tlog (8238, 2014-02-10)
Fast_detector\Fast_detector\Debug\link.write.1.tlog (2454, 2014-02-10)
Fast_detector\Fast_detector\Debug\mt.command.1.tlog (498, 2014-02-10)
Fast_detector\Fast_detector\Debug\mt.read.1.tlog (498, 2014-02-10)
Fast_detector\Fast_detector\Debug\mt.write.1.tlog (498, 2014-02-10)
Fast_detector\Fast_detector\Debug\rc.command.1.tlog (744, 2014-01-30)
Fast_detector\Fast_detector\Debug\rc.read.1.tlog (470, 2014-01-30)
... ...
FAST feature detectors in OpenCV
--------------------------------
To use the code, you will need to compile the following files:
cv_fast_9.cc
cv_fast_10.cc
cv_fast_11.cc
cv_fast_12.cc
cvfast.cc
To use the code, #include "cvfast.h", and call the function:
void cvCornerFast( const CvArr* image, int threshold, int N,
int nonmax_suppression, int* ret_number_of_corners,
CvPoint** ret_corners);
image: OpenCV image in which to detect corners. Must be 8 bit unsigned.
threshold: Threshold for detection (higher is fewer corners). 0--255
N: Arc length of detector, 9, 10, 11 or 12. 9 is usually best.
nonmax_suppression: Whether to perform nonmaximal suppression.
ret_number_of_corners: The number of detected corners is returned here.
ret_corners: The corners are returned here.
test.cc is a simple, complete example.
If the references are:
* Machine learning for high-speed corner detection,
E. Rosten and T. Drummond, ECCV 2006
* Faster and better: A machine learning approach to corner detection
E. Rosten, R. Porter and T. Drummond, PAMI, 2009
The Bibtex entries are:
@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"
}
@article{rosten_2009_faster,
title = "Faster and better: A machine learning approach to corner detection",
author = "Edward Rosten and Reid Porter and Tom Drummond",
year = "2009",
journal = "IEEE Trans. Pattern Analysis and Machine Intelligence (to appear)",
eprint = "arXiv:0810.2434 [cs.CV]",
url = "http://lanl.arXiv.org/pdf/0810.2434"
}
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