fixed warnings and errors reported by VS2010

modules/features2d/include/opencv2/features2d/features2d.hpp

@@ -1803,7 +1803,7 @@ struct CV_EXPORTS L2
         ResultType result = ResultType();
         for( int i = 0; i < size; i++ )
         {
-            ResultType diff = a[i] - b[i];
+            ResultType diff = (ResultType)(a[i] - b[i]);
             result += diff*diff;
         }
         return (ResultType)sqrt((double)result);

modules/legacy/src/compat.cpp

@@ -573,7 +573,7 @@ void cvCalibrateCamera_64d( int image_count, int* _point_counts,
 /* Find 3d position of object given intrinsic camera parameters,
    3d model of the object and projection of the object into view plane */
 void cvFindExtrinsicCameraParams( int point_count,
-    CvSize image_size, CvPoint2D32f* _image_points,
+    CvSize, CvPoint2D32f* _image_points,
     CvPoint3D32f* _object_points, float* focal_length,
     CvPoint2D32f principal_point, float* _distortion_coeffs,
     float* _rotation_vector, float* _translation_vector )
@@ -598,7 +598,7 @@ void cvFindExtrinsicCameraParams( int point_count,
 
 /* Variant of the previous function that takes double-precision parameters */
 void cvFindExtrinsicCameraParams_64d( int point_count,
-    CvSize image_size, CvPoint2D64f* _image_points,
+    CvSize, CvPoint2D64f* _image_points,
     CvPoint3D64f* _object_points, double* focal_length,
     CvPoint2D64f principal_point, double* _distortion_coeffs,
     double* _rotation_vector, double* _translation_vector )

samples/c/delaunay.c

-#include <opencv2/imgproc/imgproc.hpp>
+#include <opencv2/imgproc/imgproc_c.h>
 #include <opencv2/highgui/highgui.hpp>
 
+#include <stdio.h>
+
 /* the script demostrates iterative construction of
    delaunay triangulation and voronoi tesselation */
 

samples/c/demhist.c

-#include <opencv2/imgproc/imgproc.hpp>
+#include <opencv2/imgproc/imgproc_c.h>
 #include <opencv2/highgui/highgui.hpp>
 
+#include <stdio.h>
+
 char file_name[] = "baboon.jpg";
 
 int _brightness = 100;

samples/c/distrans.c

-#include <opencv2/imgproc/imgproc.hpp>
+#include <opencv2/imgproc/imgproc_c.h>
 #include <opencv2/highgui/highgui.hpp>
 
+#include <stdio.h>
+
 char wndname[] = "Distance transform";
 char tbarname[] = "Threshold";
 int mask_size = CV_DIST_MASK_5;

samples/c/edge.c

-#include <opencv2/imgproc/imgproc.hpp>
+#include <opencv2/imgproc/imgproc_c.h>
 #include <opencv2/highgui/highgui.hpp>
 
 char wndname[] = "Edge";

samples/c/ffilldemo.c

-#include <opencv2/imgproc/imgproc.hpp>
+#include <opencv2/imgproc/imgproc_c.h>
 #include <opencv2/highgui/highgui.hpp>
 
 IplImage* color_img0;

samples/c/houghlines.c

 #include "opencv2/highgui/highgui.hpp"
-#include "opencv2/imgproc/imgproc.hpp"
+#include "opencv2/imgproc/imgproc_c.h"
 
 int main(int argc, char** argv)
 {

samples/c/morphology.c

 #include "opencv2/highgui/highgui.hpp"
-#include "opencv2/imgproc/imgproc.hpp"
+#include "opencv2/imgproc/imgproc_c.h"
+
+#include <stdio.h>
 
 IplImage* src = 0;
 IplImage* dst = 0;

samples/c/peopledetect.cpp

@@ -67,7 +67,6 @@ int main(int argc, char** argv)
 	    // run the detector with default parameters. to get a higher hit-rate
 	    // (and more false alarms, respectively), decrease the hitThreshold and
 	    // groupThreshold (set groupThreshold to 0 to turn off the grouping completely).
-        int can = img.channels();
 	    hog.detectMultiScale(img, found, 0, Size(8,8), Size(32,32), 1.05, 2);
 	    t = (double)getTickCount() - t;
 	    printf("tdetection time = %gms\n", t*1000./cv::getTickFrequency());

samples/c/squares.c

@@ -3,7 +3,7 @@
 // It loads several images subsequentally and tries to find squares in
 // each image
 //
-#include "opencv2/imgproc/imgproc.hpp"
+#include "opencv2/imgproc/imgproc_c.h"
 #include "opencv2/highgui/highgui.hpp"
 #include <stdio.h>
 #include <math.h>

samples/cpp/brief_match_test.cpp

@@ -44,7 +44,7 @@ void matches2points(const vector<DMatch>& matches, const vector<KeyPoint>& kpts_
 
 }
 
-float match(const vector<KeyPoint>& kpts_train, const vector<KeyPoint>& kpts_query, DescriptorMatcher& matcher,
+double match(const vector<KeyPoint>& kpts_train, const vector<KeyPoint>& kpts_query, DescriptorMatcher& matcher,
             const Mat& train, const Mat& query, vector<DMatch>& matches)
 {
 
@@ -112,7 +112,7 @@ int main(int ac, char ** av)
   cout << "matching with BruteForceMatcher<Hamming>" << endl;
   BruteForceMatcher<Hamming> matcher_popcount;
   vector<DMatch> matches_popcount;
-  float pop_time = match(kpts_1, kpts_2, matcher_popcount, desc_1, desc_2, matches_popcount);
+  double pop_time = match(kpts_1, kpts_2, matcher_popcount, desc_1, desc_2, matches_popcount);
   cout << "done BruteForceMatcher<Hamming> matching. took " << pop_time << " seconds" << endl;
 
   vector<Point2f> mpts_1, mpts_2;

samples/cpp/build3dmodel.cpp

@@ -371,7 +371,7 @@ struct EqKeypoints
 
 static void build3dmodel( const Ptr<FeatureDetector>& detector,
                           const Ptr<DescriptorExtractor>& descriptorExtractor,
-                          const vector<Point3f>& modelBox,
+                          const vector<Point3f>& /*modelBox*/,
                           const vector<string>& imageList,
                           const vector<Rect>& roiList,
                           const vector<Vec6f>& poseList,

samples/cpp/contours2.cpp

@@ -33,7 +33,7 @@ void on_trackbar(int, void*)
     imshow("contours", cnt_img);
 }
 
-int main( int argc, char** argv)
+int main( int argc, char**)
 {
     Mat img = Mat::zeros(w, w, CV_8UC1);
     if(argc > 1)

samples/cpp/starter_video.cpp

@@ -35,7 +35,7 @@ int process(VideoCapture& capture) {
 		if (frame.empty())
 			continue;
 		imshow(window_name, frame);
-		char key = waitKey(5); //delay N millis, usually long enough to display and capture input
+		char key = (char)waitKey(5); //delay N millis, usually long enough to display and capture input
 		switch (key) {
 		case 'q':
 		case 'Q':