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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.
-