文件列表:

SIFT\data\1D.jpg (200907, 2013-04-04)
SIFT\data\1G.jpg (188046, 2013-04-04)
SIFT\data\2D.jpg (330367, 2013-04-05)
SIFT\data\2G.jpg (334587, 2013-04-05)
SIFT\data\3D.jpg (106857, 2013-04-05)
SIFT\data\3G.jpg (102059, 2013-04-05)
SIFT\data\4D.jpg (106568, 2013-04-05)
SIFT\data\4G.jpg (105231, 2013-04-05)
SIFT\data\5D.jpg (104032, 2013-04-05)
SIFT\data\5G.jpg (105367, 2013-04-05)
SIFT\data\6D.jpg (104320, 2013-04-05)
SIFT\data\6G.jpg (101661, 2013-04-05)
SIFT\data\7D.jpg (62692, 2013-04-10)
SIFT\data\7G.jpg (65516, 2013-04-10)
SIFT\data\box.pgm (72310, 2010-01-28)
SIFT\data\box.sift (233055, 2010-01-28)
SIFT\data\circle.pgm (10060, 2010-01-28)
SIFT\data\circle.sift (1362, 2010-01-28)
SIFT\data\img3.jpg (464954, 2010-01-28)
SIFT\data\img5.jpg (467808, 2010-01-28)
SIFT\data\landscape-a.jpg (275111, 2010-01-28)
SIFT\data\landscape-b.jpg (304723, 2010-01-28)
SIFT\data\nest.png (11101, 2010-01-28)
SIFT\data\nest2.bmp (17462, 2010-01-28)
SIFT\data\vessel-1.pgm (337980, 2010-01-28)
SIFT\data\vessel-2.pgm (337980, 2010-01-28)
SIFT\diffss.m (2792, 2010-01-28)
SIFT\doc\bibliography.bib (246, 2010-01-28)
SIFT\doc\figures\sift-descriptor-AI.bb (550, 2010-01-28)
SIFT\doc\figures\sift-descriptor-AI.pdf (475918, 2010-01-28)
SIFT\doc\figures\sift-descriptor-SAVED.tex (3275, 2010-01-28)
SIFT\doc\figures\sift-descriptor.aux (8, 2010-01-28)
SIFT\doc\figures\sift-descriptor.log (13430, 2010-01-28)
SIFT\doc\figures\sift-descriptor.pdf (443880, 2010-01-28)
SIFT\doc\figures\sift-descriptor.tex (3275, 2010-01-28)
SIFT\doc\figures\sift-descriptor.wrm (13, 2010-01-28)
SIFT\doc\figures\warmread.sty (48557, 2010-01-28)
SIFT\doc\sift.bbl (239, 2010-01-28)
SIFT\doc\sift.tex (22459, 2010-01-28)
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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 TRYING OUT THE CODE The package includes a number of test function called sift_demo*.m. 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 0.9.19 Adds support for maci*** platforms to sift_compile.m. Fixes an issue causing keypoints to be plotted one pixels off. 0.9.18 Adds support for *** bit platforms to sift_compile.m Fixes whitespaces. 0.9.17 Fixed a bug for which the VERSION file was not updated correctly. Compiles with Visual C 2005. 0.9.16 Fixed a bug causing an infinite loop in siftdescriptors under Windows with LCC and null gradients in the descriptor. 0.9.15 Untabified sources. Fixed typo in notes. 0.9.14 Fixed issues in sift_compile.m on Mac Intel platforms. 0.9.13 Improved make dist. 0.9.12 Removed LAPACK call. Added LOWE_BUG symbol definition to reproduce a small issue with Lowe's implementation in the computation of the keypoint orientations and match its output more closely. 0.9.11 Corrected a bug which prevented Magnif to function properly. Removed a spurious KEYBOARD command. 0.9.10 Added sift_demo6.m. 0.9.9 Added a flag to compile on Intel Macs. Improved the documentation. 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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