initial sd-vbs

initial sd-vbs

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sd-vbs

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+% SIFT_OVERVIEW  Scale-Invariant Feature Transfrom
+%
+%  This is a MATLAB/C implementation of SIFT detector and descriptor
+%  [1]. You can:
+%
+%  * Use SIFT() to detect the SIFT frames (keypoints) of a given image
+%    and compute their descriptors. Then you can use SIFTMATCH() to
+%    match the descriptors.
+%
+%  * Use PLOTSS(), PLOTSIFTDESCRIPTOR(), PLOTSIFTFRAME(),
+%    PLOTMATCHES() to visualize the results.
+%
+%  As SIFT is implemented by several reusable M and MEX files, you can
+%  also run portions of the algorithm, or change them. Specifically,
+%  you can:
+%
+%  * Use SIFTDESCRIPTOR() to compute the SIFT descriptor from a list
+%    of frames and a scale space or plain image.
+%
+%  * Use GAUSSIANSS() and DIFFSS() to compute the Gaussian and DOG
+%    scale spaces.
+%
+%  * Use SIFTLOCALMAX(), SIFTREFINEMX(), SIFTORMX() to manually
+%    extract the SIFT frames from the DOG scale space. More in
+%    general, you can use SIFTLOCALMAX() to find maximizers of any
+%    multi-dimensional arrays.
+%
+%  REFERENCES
+%  [1] D. G. Lowe, "Distinctive image features from scale-invariant
+%      keypoints," IJCV, vol. 2, no. 60, pp. 91 110, 2004.
+%
+%  See also PDF:SIFT.INTRODUCTION.
+