1 files changed, 0 insertions, 110 deletions

diff --git a/SD-VBS/benchmarks/sift/src/matlab/sift.m b/SD-VBS/benchmarks/sift/src/matlab/sift.m
deleted file mode 100644
index ee79371..0000000
--- a/SD-VBS/benchmarks/sift/src/matlab/sift.m
+++ /dev/null
@@ -1,110 +0,0 @@
-% Input:
-%   I          the input image, with pixel values normalize to lie betwen [0,1].
-%
-% Output:
-%   features    a structure which contains the following fields:
-%       pos     an n*2 matrix containing the (x,y) coordinates of the keypoints
-%               stored in rows.
-%       scale   an n*3 matrix with rows describing the scale of each keypoint
-%               (i.e., first column specifies the octave, second column specifies the interval, and
-%               third column specifies sigma).
-%       orient  a n*1 vector containing the orientations of the keypoints [-pi,pi).
-%       desc    an n*128 matrix with rows containing the feature descriptors 
-%               corresponding to the keypoints.
-
-function [frames]=sift(I)
-
-[M,N,C] = size(I) ;
-
-% Lowe's choices
-S=3 ;
-omin=-1 ;
-O=floor(log2(min(M,N)))-omin-4 ; % Up to 16x16 images
-sigma0=1.6*2^(1/S) ;
-sigman=0.5 ;
-thresh = 0.04 / S / 2 ;
-r = 10 ;
-
-NBP = 4 ;
-NBO = 8 ;
-magnif = 3.0 ;
-
-% Parese input
-compute_descriptor = 0 ;
-discard_boundary_points = 1 ;
-verb = 0 ;
-
-smin = -1;
-smax = S+1;
-intervals = smax - smin + 1;
-
-
-% --------------------------------------------------------------------
-%                                                           Parameters
-% --------------------------------------------------------------------
-
-oframes = [] ;
-frames = [] ;
-descriptors = [] ;
-
-% --------------------------------------------------------------------
-%                                         SIFT Detector and Descriptor
-% --------------------------------------------------------------------
-
-% Compute scale spaces
-%if verb > 0, fprintf('SIFT: computing scale space...') ; end
-
-gss = gaussianss(I,sigman,O,S,omin,-1,S+1,sigma0) ;
-dogss = diffss(gss) ;
-frames = [];
-
-%% To maintain consistency with C code. Once C code is ready, this will be uncommented.
-for o=1:O                               %for o=1:O 
-        
-        % Local maxima of the DOG octave
-        % The 80% tricks discards early very weak points before refinement.
-         
-    idx = siftlocalmax(  dogss.octave{o}, 0.8*thresh  ) ;
-        idx = [idx , siftlocalmax( - dogss.octave{o}, 0.8*thresh)] ;  
-   
-        K=length(idx) ; 
-        [i,j,s] = ind2sub( size( dogss.octave{o} ), idx ) ;
-    
-    y=i-1 ;
-        x=j-1 ;
-        s=s-1+dogss.smin ;
-    oframes = [x(:)';y(:)';s(:)'] ;
-
-%    fWriteMatrix(oframes, '../data/sim');
-        
-        % Remove points too close to the boundary
-        if discard_boundary_points
-                oframes = filter_boundary_points(size(dogss.octave{o}), oframes ) ;
-        end
-                
-        % Refine the location, threshold strength and remove points on edges
-        oframes = siftrefinemx(...
-                oframes, ...
-                dogss.octave{o}, ...
-                dogss.smin, ...
-                thresh, ...
-                r) ;
-    
-   frames = [frames, oframes];     
- 
-end
-end
-
-%% --------------------------------------------------------------------
-%%                                                              Helpers
-%% --------------------------------------------------------------------
-function oframes=filter_boundary_points(sz, oframes)
-
-sel=find(...
-        oframes(1,:) > 3 & ...
-        oframes(1,:) < sz(2)-3 & ...
-        oframes(2,:) > 3 & ...
-        oframes(2,:) < sz(1)-3 ) ;
-
-oframes=oframes(:,sel) ;
-end