1 files changed, 0 insertions, 37 deletions

diff --git a/SD-VBS/benchmarks/stitch/src/matlab/harris.m b/SD-VBS/benchmarks/stitch/src/matlab/harris.m
deleted file mode 100755
index 423330e..0000000
--- a/SD-VBS/benchmarks/stitch/src/matlab/harris.m
+++ /dev/null
@@ -1,37 +0,0 @@
-
-% Sample code for detecting Harris corners, following 
-% Brown et al, CVPR 2005
-%        by Alyosha Efros, so probably buggy...
-
-function [x,y,v] = harris(im, dataDir);
-
-g1 = [1,4,6,4,1; 4,16,24,16,4;6,24,36,24,6;4,16,24,16,4;1,4,6,4,1]/256;
-g2 = [1,2,1;2,4,2;1,2,1]/16;
-
-img1 = conv2(im,g1,'same');  % blur image with sigma_d
-     
-Ix = conv2(img1,[-0.5 0 0.5],'same');  % take x derivative 
-Iy = conv2(img1,[-0.5;0;0.5],'same');  % take y derivative
-
-% Compute elements of the Harris matrix H
-%%% we can use blur instead of the summing window
-Ix2 = conv2(Ix.*Ix,g2,'same');
-Iy2 = conv2(Iy.*Iy,g2,'same');
-IxIy = conv2(Ix.*Iy,g2,'same'); 
-
-R = (Ix2.*Iy2 - IxIy.*IxIy) ... % det(H) 
-    ./ (Ix2 + Iy2 + eps);       % trace(H) + epsilon
-
-% don't want corners close to image border
-[rows, cols] = size(im);
-
-% non-maxima supression within 3x3 windows
-nonmax = inline('max(x)');
-Rmax = colfilt(R,[3 3],'sliding',nonmax); % find neighbrhood max
-Rnm = R.*(R == Rmax);  % supress non-max
-
-% extract all interest points
-[y,x,v] = find(Rnm);
-
-
-