视频分析算法_VAP源代码-算法仿真
所属分类:matlab编程
开发工具:matlab
文件大小:31660KB
下载次数:11
上传日期:2017-10-19 08:36:29
上 传 者:
Kiros
说明: 提供60种基于Matlab的视频分析算法源代码
(Provides 60 Matlab based video analysis algorithm source code)
文件列表:
视频分析算法60讲源码_VAP源代码-算法仿真\01.Moravec\calculateVa.m (172, 2009-07-24)
视频分析算法60讲源码_VAP源代码-算法仿真\01.Moravec\calculateVd.m (168, 2009-07-24)
视频分析算法60讲源码_VAP源代码-算法仿真\01.Moravec\calculateVh.m (169, 2009-07-24)
视频分析算法60讲源码_VAP源代码-算法仿真\01.Moravec\calculateVv.m (172, 2009-07-24)
视频分析算法60讲源码_VAP源代码-算法仿真\01.Moravec\Moravec.m (448, 2015-01-04)
视频分析算法60讲源码_VAP源代码-算法仿真\01.Moravec\moravecCorner.m (537, 2009-08-14)
视频分析算法60讲源码_VAP源代码-算法仿真\01.Moravec\Norma.m (179, 2013-10-14)
视频分析算法60讲源码_VAP源代码-算法仿真\01.Moravec\test.jpg (7741, 2009-07-31)
视频分析算法60讲源码_VAP源代码-算法仿真\02.Foerstner\Foerstner.m (2455, 2015-01-04)
视频分析算法60讲源码_VAP源代码-算法仿真\02.Foerstner\ip_errell.m (1334, 2013-10-14)
视频分析算法60讲源码_VAP源代码-算法仿真\02.Foerstner\ip_fop.m (20051, 2013-10-14)
视频分析算法60讲源码_VAP源代码-算法仿真\02.Foerstner\test.jpg (53919, 2013-10-14)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\arroyo_dg_l.tif (329860, 2006-03-04)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\arroyo_dg_r.tif (356478, 2006-03-04)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\arroyo_l.tif (324178, 2006-03-04)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\arroyo_r.tif (353006, 2006-03-04)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\harris.asv (1938, 2015-01-08)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\harris.m (1938, 2015-01-08)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\harrisplus.asv (2066, 2006-03-04)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\harrisplus.m (2106, 2006-03-04)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\result\arroyo_dg_l.tif (329860, 2006-03-04)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\result\arroyo_dg_r.tif (356478, 2006-03-04)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\result\arroyo_l.tif (324178, 2006-03-04)
视频分析算法60讲源码_VAP源代码-算法仿真\03.Harris\result\arroyo_r.tif (353006, 2006-03-04)
视频分析算法60讲源码_VAP源代码-算法仿真\04.SUSAN\lena.bmp (66614, 2006-03-21)
视频分析算法60讲源码_VAP源代码-算法仿真\04.SUSAN\SUSAN.m (479, 2015-02-06)
视频分析算法60讲源码_VAP源代码-算法仿真\04.SUSAN\susanCorner.m (486, 2013-05-09)
视频分析算法60讲源码_VAP源代码-算法仿真\04.SUSAN\susanFun.m (1071, 2013-05-05)
视频分析算法60讲源码_VAP源代码-算法仿真\04.SUSAN\SUSAN运行结果.jpg (19393, 2013-05-05)
视频分析算法60讲源码_VAP源代码-算法仿真\04.SUSAN\说明.txt (141, 2013-05-09)
视频分析算法60讲源码_VAP源代码-算法仿真\05.CSS\corner.asv (3751, 2013-08-28)
视频分析算法60讲源码_VAP源代码-算法仿真\05.CSS\corner.jpg (15202, 2013-08-28)
视频分析算法60讲源码_VAP源代码-算法仿真\05.CSS\corner.m (3893, 2015-02-06)
视频分析算法60讲源码_VAP源代码-算法仿真\05.CSS\curve_tangent.m (1723, 2013-08-26)
视频分析算法60讲源码_VAP源代码-算法仿真\05.CSS\edge.jpg (15980, 2013-08-28)
视频分析算法60讲源码_VAP源代码-算法仿真\05.CSS\extract_curve.m (2718, 2013-08-28)
视频分析算法60讲源码_VAP源代码-算法仿真\05.CSS\get_corner.asv (4757, 2013-08-28)
视频分析算法60讲源码_VAP源代码-算法仿真\05.CSS\get_corner.m (4634, 2013-08-28)
视频分析算法60讲源码_VAP源代码-算法仿真\05.CSS\lena.bmp (66614, 2006-03-21)
视频分析算法60讲源码_VAP源代码-算法仿真\05.CSS\mark.m (810, 2013-08-26)
... ...
FAST corner detection in MATLAB. -- Edward Rosten
Five functions are provided:
fast_corner_detect_9
fast_corner_detect_10
fast_corner_detect_11
fast_corner_detect_12
fast_nonmax
for corner detection and nonmaximal suppression. Online help
is provided for all these functions, and an example is provided
in example.m
For more information on the FAST detector, visit the FAST home page at
http://mi.eng.cam.ac.uk/~er258/work/fast.html
If you use this in academic work, then please cite the following two papers:
Fusing Points and Lines for High Performance Tracking, E. Rosten and T. Drummond, ICCV 2005
Machine learning for high-speed corner detection, E. Rosten and T. Drummond, ECCV 2006
The Bibtex entries are:
@inproceedings{rosten_2005_tracking,
title = "Fusing points and lines for high performance tracking.",
author = "Edward Rosten and Tom Drummond",
year = "2005",
month = "October",
pages = "1508--1511",
volume = "2",
booktitle = "IEEE International Conference on Computer Vision",
notes = "Oral presentation",
url = "http://mi.eng.cam.ac.uk/~er258/work/rosten_2005_tracking.pdf"
}
@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"
}
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