Update to 2.0.0 tree from current Fremantle build

[opencv] / interfaces / matlab / toolbox / opencv / cvgoodfeaturestotrack.m

diff --git a/interfaces/matlab/toolbox/opencv/cvgoodfeaturestotrack.m b/interfaces/matlab/toolbox/opencv/cvgoodfeaturestotrack.m
deleted file mode 100644 (file)
index c586d88..0000000
--- a/interfaces/matlab/toolbox/opencv/cvgoodfeaturestotrack.m
+++ /dev/null
@@ -1,43 +0,0 @@
-function varargout = cvgoodfeaturestotrack(varargin)\r
-%CVGOODFEATURESTOTRACK Find strong corners on the image.\r
-%   corners = cvGoodFeaturesToTrack(IMAGE image, corner_count,\r
-%     quality_level, min_distance);\r
-%   corners = cvGoodFeaturesToTrack(IMAGE image, corner_count,\r
-%     quality_level, min_distance, IMAGE mask);\r
-%\r
-%   image         - input image\r
-%   corner_count  - number of output corners\r
-%   quality_level - only those corners are selected, which minimal eigen value is\r
-%                   non-less than maximum of minimal eigen values on the image,\r
-%                   multiplied by quality_level. For example, quality_level = 0.1\r
-%                   means that selected corners must be at least 1/10 as good as\r
-%                   the best corner.\r
-%   min_distance  - The selected corners(after thresholding using quality_level)\r
-%                   are rerified such that pair-wise distance between them is\r
-%                   non-less than min_distance\r
-%   mask          - mask image\r
-%\r
-%   corners       - output corners\r
-\r
-if nargin < 4 | nargin > 5\r
-    error 'Invalid number of parameters';\r
-    return;\r
-end\r
-\r
-if nargin < 5\r
-    varargin{5} = [];\r
-end;\r
-\r
-out = nargout;\r
-if out < 1\r
-    out = 1;\r
-end\r
-\r
-if out > 1\r
-    error 'Too many output parameters'\r
-    return;\r
-end;\r
-\r
-[varargout{1:1}] = feval('cvwrap', 'GoodFeaturesToTrack', varargin{:});\r
-\r
-return;
\ No newline at end of file