siftdescriptor.m

sift的matlab代码

% SIFTDESCRIPTOR  Compute SIFT descriptors
%   DESCR = SIFTDESCRIPTOR(G, P, SIGMA0, S, MINS) returns the SIFT
%   descriptors DESCR of the SIFT frames P defined on the octave G of
%   the Gaussian scale space. SIGMA0, S and MINS are the the parameter
%   of the scale space as explained in PDF:SIFT.USER.SS. P has one
%   column per frame, specifiying the center X1,X2, the scale index s
%   and the orientation THETA of the frame in this order. Note that:
%
%   - The functions operates on a single octave G of the scale
%     space. In order to process frames spanning more than one
%     octave the function must be called multiple times
%
%   - The scale of a SIFT frame is given by SIGMA(s,o) = SIGMA0
%     2^(o+s/S) where o is the octave index and s is the scale
%     index. Since SIFTDESCRIPTOR() operates on a specific octave G, P
%     contains the scale index s rather than the scale SIGMA.
%
%   DESCR = SIFTDESCRIPTOR(I, P, SIGMA) operates on a plain image I
%   which is assumed to be pre-smoothed at scale SIGMA. In this case P
%   specifies X1,X2 and the orientation THETA (but NOT the scale
%   index). Note that:
%
%   - SIGMA is the scale and not the scale index.
%
%   - While the Gaussian scale space octaves are downsampled, I is
%     not.
%
%   Other parameters can be specfied as option-value paris. These
%   are:
%
%   'Magnif' [3.0]
%      Frame magnification factor. Each spatial bin of the SIFT
%      histogram has an exentsion equal to magnif * sigma, where
%      magnif is the frame magnification factor and sigma is the scale
%      of the frame.
%
%   'NumSpatialBins' [4]
%      This parameter specifies the number of spatial bins in each
%      spatial direction X1 and X2. It must be a positive and even
%      number.
%
%   'NumOrientBins' [8]
%      This parameter specifies the number of orietnation bins. It
%      must be a positive number.
%
%   See also SIFT(), GAUSSIANSS(), DIFFSS(), SIFTLOCALMAX(), 
%            PDF:SIFT.USER.DESCRIPTOR.

% AUTORIGHTS
% Copyright (c) 2006 The Regents of the University of California.
% All Rights Reserved.
% 
% Created by Andrea Vedaldi
% UCLA Vision Lab - Department of Computer Science
% 
% Permission to use, copy, modify, and distribute this software and its
% documentation for educational, research and non-profit purposes,
% without fee, and without a written agreement is hereby granted,
% provided that the above copyright notice, this paragraph and the
% following three paragraphs appear in all copies.
% 
% This software program and documentation are copyrighted by The Regents
% of the University of California. The software program and
% documentation are supplied "as is", without any accompanying services
% from The Regents. The Regents does not warrant that the operation of
% the program will be uninterrupted or error-free. The end-user
% understands that the program was developed for research purposes and
% is advised not to rely exclusively on the program for any reason.
% 
% This software embodies a method for which the following patent has
% been issued: "Method and apparatus for identifying scale invariant
% features in an image and use of same for locating an object in an
% image," David G. Lowe, US Patent 6,711,293 (March 23,
% 2004). Provisional application filed March 8, 1999. Asignee: The
% University of British Columbia.
% 
% IN NO EVENT SHALL THE UNIVERSITY OF CALIFORNIA BE LIABLE TO ANY PARTY
% FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES,
% INCLUDING LOST PROFITS, ARISING OUT OF THE USE OF THIS SOFTWARE AND
% ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF CALIFORNIA HAS BEEN
% ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THE UNIVERSITY OF
% CALIFORNIA SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT
% LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
% A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS ON AN "AS IS"
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% MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.