From a32f220f06cc463e5b56e7fa0b1b1334d94d08f3 Mon Sep 17 00:00:00 2001 From: leochanj105 Date: Tue, 20 Oct 2020 03:47:33 -0400 Subject: matlab removed --- SD-VBS/benchmarks/sift/src/matlab/siftmatch.m | 60 --------------------------- 1 file changed, 60 deletions(-) delete mode 100644 SD-VBS/benchmarks/sift/src/matlab/siftmatch.m (limited to 'SD-VBS/benchmarks/sift/src/matlab/siftmatch.m') diff --git a/SD-VBS/benchmarks/sift/src/matlab/siftmatch.m b/SD-VBS/benchmarks/sift/src/matlab/siftmatch.m deleted file mode 100644 index d4398c1..0000000 --- a/SD-VBS/benchmarks/sift/src/matlab/siftmatch.m +++ /dev/null @@ -1,60 +0,0 @@ -% 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. -- cgit v1.2.2