siftmatch.m

sift的matlab代码

% SIFTMATCH  Match SIFT features
%   MATCHES=SIFTMATCH(DESCR1, DESCR2) matches the two sets of SIFT
%   descriptors DESCR1 and DESCR2.
%
%   The function uses the same algorithm suggested by D. Lowe [1] to
%   reject matches that are too ambiguous.
%
%   SIFTMATCH(DESCR1, DESCR2, THRESH) uses [1] with the specified
%   threshold THRESH. A descriptor D1 is matched to a descriptor D2
%   only if the distance d(D1,D2) multiplied by THRESH is not greather
%   than the distance of D1 to all other descriptors. The default
%   value of THRESH is 1.5.
%   
%   The storage class of the descriptors can be either DOUBLE, FLOAT,
%   INT8 or UINT8. Usually interger classes are faster.
%   
%   [1] D. G. Lowe, 
%       `Distinctive image features from scale-invariant keypoints,'
%       IJCV, vol. 2, no. 60, pp. 91–110, 2004.
%
%   See also SIFT(), SIFTDESCRIPTOR().

% 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"
% BASIS, AND THE UNIVERSITY OF CALIFORNIA HAS NO OBLIGATIONS TO PROVIDE
% MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.