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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