SIFT

所属分类:matlab编程
开发工具:matlab
文件大小:2573KB
下载次数:539
上传日期:2009-03-14 09:51:54
上 传 者cao2138
说明:  在Matlab中实现基于旋转尺度不变特征提取特征点的方法。
(Matlab implementation of the rotation based on scale-invariant feature extraction method of feature points.)

文件列表:
sift算法的matlab程序\sift\bundle.m (0, 2009-03-11)
sift算法的matlab程序\sift\data\box.pgm (72310, 2009-03-11)
sift算法的matlab程序\sift\data\box.sift (233055, 2009-03-11)
sift算法的matlab程序\sift\data\circle.pgm (10060, 2006-10-25)
sift算法的matlab程序\sift\data\circle.sift (1362, 2006-10-25)
sift算法的matlab程序\sift\data\img3.jpg (464954, 2009-03-11)
sift算法的matlab程序\sift\data\img5.jpg (467808, 2009-03-11)
sift算法的matlab程序\sift\data\landscape-a.jpg (275111, 2009-03-11)
sift算法的matlab程序\sift\data\landscape-b.jpg (304723, 2006-05-01)
sift算法的matlab程序\sift\data\nest.png (11101, 2006-11-02)
sift算法的matlab程序\sift\data\nest2.bmp (17462, 2006-11-02)
sift算法的matlab程序\sift\diffss.m (2797, 2006-05-12)
sift算法的matlab程序\sift\doc\bibliography.bib (246, 2006-04-11)
sift算法的matlab程序\sift\doc\figures\sift-descriptor-AI.bb (550, 2006-04-27)
sift算法的matlab程序\sift\doc\figures\sift-descriptor-AI.pdf (475918, 2006-04-27)
sift算法的matlab程序\sift\doc\figures\sift-descriptor-SAVED.tex (3275, 2006-04-27)
sift算法的matlab程序\sift\doc\figures\sift-descriptor.aux (8, 2006-04-27)
sift算法的matlab程序\sift\doc\figures\sift-descriptor.log (13430, 2006-04-27)
sift算法的matlab程序\sift\doc\figures\sift-descriptor.pdf (443880, 2006-04-27)
sift算法的matlab程序\sift\doc\figures\sift-descriptor.tex (3275, 2006-04-27)
sift算法的matlab程序\sift\doc\figures\sift-descriptor.wrm (13, 2006-04-27)
sift算法的matlab程序\sift\doc\figures\warmread.sty (48557, 2001-07-04)
sift算法的matlab程序\sift\doc\sift.tex (21807, 2006-05-13)
sift算法的matlab程序\sift\doc\visionlab.sty (6174, 2006-04-11)
sift算法的matlab程序\sift\gaussianss.m (7920, 2006-05-12)
sift算法的matlab程序\sift\imreadbw.m (2359, 2006-05-12)
sift算法的matlab程序\sift\imsmooth.c (3960, 2006-11-04)
sift算法的matlab程序\sift\LICENSE (1990, 2006-04-05)
sift算法的matlab程序\sift\Makefile (2388, 2006-12-12)
sift算法的matlab程序\sift\mexutils.c (2178, 2006-05-01)
sift算法的matlab程序\sift\plotmatches.m (10001, 2006-08-16)
sift算法的matlab程序\sift\plotsiftdescriptor.m (5466, 2006-05-12)
sift算法的matlab程序\sift\plotsiftframe.m (5040, 2006-08-24)
sift算法的matlab程序\sift\plotss.m (2734, 2006-05-12)
sift算法的matlab程序\sift\sift.m (10273, 2006-10-25)
sift算法的matlab程序\sift\siftdescriptor.c (16434, 2006-05-01)
sift算法的matlab程序\sift\siftdescriptor.m (3785, 2006-05-12)
sift算法的matlab程序\sift\siftlocalmax.c (8784, 2006-05-01)
sift算法的matlab程序\sift\siftlocalmax.m (1637, 2006-05-01)
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AN IMPLEMENTATION OF LOWE'S SCALE INVARIANT FEATURE TRANSFORM Andrea Vedaldi vedaldi@cs.ucla.edu http://www.cs.ucla.edu/~vedaldi/ This is a MATLAB/C implementation of the SIFT detector and descriptor [1]. See the documentation in 'doc/' to get started. COMPLING From MATLAB prompt > sift_compile From shell prompt (Linux, Mac OS X) > make TESTING > sift_demo > sift_demo2 > sift_demo3 ABOUT THE SOURCE CODE We use the follwing convention to name files: *.m *.c: M and MEX files sift*mx.c: `Private' MEX files sift_*.m: Service scripts (compiling, demos) CHANGES 0.9.8 Minor bug fixes 0.9.7 Fixed a minor glitch in the convolution code. Increased the default number of octaves that get computed (this is more similar to Lowe's version). 0.9.6 Modified the convolution code to handle image boundaries more similarly to Lowe's version. 0.9.5 Fixed a minor issues with the new sift_demo3.m. 0.9.4 Fixed another bug in the detection of keypoints close to the boundary. Reduced the size of the distribution. New test code. 0.9.3 Improved plotmatches.m and tightsubplot.m 0.9.2 Improved detection of keypoints too close to the boundary 0.9.1 Fixed a bug in the creation of the .zip archive 0.9 Fixed a bug for which some of the keypoint detected where dropped. CREDITS The SIFT algorithm [1] has been patented by David Lowe. Some of the images in 'data/' are from [2,3]. [1] D. G. Lowe, "Distinctive image features from scale-invariant keypoints," IJCV, vol. 2, no. 60, pp. 91 110, 2004. [2] K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas, F. Schaffalitzky, T. Kadir, and L. Van Gool, "A comparison of affine region detectors," IJCV, vol. 1, no. 60, pp. 63 86, 2004. [3] C. Hormann, "Landscape of the week 2," 2006.

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