Merge pull request #14724 from asashour:typos

modules/calib3d/src/fundam.cpp

@@ -72,7 +72,7 @@ public:
         // are geometrically consistent. We check if every 3 correspondences sets
         // fulfills the constraint.
         //
-        // The usefullness of this constraint is explained in the paper:
+        // The usefulness of this constraint is explained in the paper:
         //
         // "Speeding-up homography estimation in mobile devices"
         // Journal of Real-Time Image Processing. 2013. DOI: 10.1007/s11554-012-0314-1

modules/calib3d/src/ippe.hpp

@@ -122,10 +122,10 @@ private:
      *                                  For highest accuracy the Jacobian should be computed at the centroid of the point correspondences (see the IPPE paper for the explanation of this).
      *                                  For a point (ux,uy) on the object plane, suppose the homography H maps (ux,uy) to a point (p,q) in the image (in normalized pixel coordinates).
      *                                  The Jacobian matrix [J00, J01; J10,J11] is the Jacobian of the mapping evaluated at (ux,uy).
-     * @param j00                       Homography jacobian coefficent at (ux,uy)
-     * @param j01                       Homography jacobian coefficent at (ux,uy)
-     * @param j10                       Homography jacobian coefficent at (ux,uy)
-     * @param j11                       Homography jacobian coefficent at (ux,uy)
+     * @param j00                       Homography jacobian coefficient at (ux,uy)
+     * @param j01                       Homography jacobian coefficient at (ux,uy)
+     * @param j10                       Homography jacobian coefficient at (ux,uy)
+     * @param j11                       Homography jacobian coefficient at (ux,uy)
      * @param p                         The x coordinate of point (ux,uy) mapped into the image (undistorted and normalized position)
      * @param q                         The y coordinate of point (ux,uy) mapped into the image (undistorted and normalized position)
     */

modules/calib3d/test/test_cameracalibration_artificial.cpp

@@ -145,7 +145,7 @@ protected:
 
         if (fail)
         {
-            // commented according to vp123's recomendation. TODO - improve accuaracy
+            // commented according to vp123's recommendation. TODO - improve accuracy
             //ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); ss
         }
         ts->printf( cvtest::TS::LOG, "%d) DistCoeff exp=(%.2f, %.2f, %.4f, %.4f %.2f)\n", r, k1, k2, p1, p2, k3);

modules/core/include/opencv2/core/core_c.h

@@ -579,7 +579,7 @@ CvNArrayIterator;
 #define CV_NO_CN_CHECK        2
 #define CV_NO_SIZE_CHECK      4
 
-/** initializes iterator that traverses through several arrays simulteneously
+/** initializes iterator that traverses through several arrays simultaneously
    (the function together with cvNextArraySlice is used for
     N-ari element-wise operations) */
 CVAPI(int) cvInitNArrayIterator( int count, CvArr** arrs,

modules/core/include/opencv2/core/operations.hpp

@@ -392,7 +392,7 @@ inline unsigned RNG::next()
     return (unsigned)state;
 }
 
-//! returns the next unifomly-distributed random number of the specified type
+//! returns the next uniformly-distributed random number of the specified type
 template<typename _Tp> static inline _Tp randu()
 {
   return (_Tp)theRNG();

modules/core/include/opencv2/core/optim.hpp

@@ -219,10 +219,10 @@ converge to it. Another obvious restriction is that it should be possible to com
 a function at any point, thus it is preferable to have analytic expression for gradient and
 computational burden should be born by the user.
 
-The latter responsibility is accompilished via the getGradient method of a
+The latter responsibility is accomplished via the getGradient method of a
 MinProblemSolver::Function interface (which represents function being optimized). This method takes
 point a point in *n*-dimensional space (first argument represents the array of coordinates of that
-point) and comput its gradient (it should be stored in the second argument as an array).
+point) and compute its gradient (it should be stored in the second argument as an array).
 
 @note class ConjGradSolver thus does not add any new methods to the basic MinProblemSolver interface.
 

modules/core/src/datastructs.cpp

@@ -3368,7 +3368,7 @@ cvTreeToNodeSeq( const void* first, int header_size, CvMemStorage* storage )
 
 typedef struct CvTreeNode
 {
-    int       flags;         /* micsellaneous flags */
+    int       flags;         /* miscellaneous flags */
     int       header_size;   /* size of sequence header */
     struct    CvTreeNode* h_prev; /* previous sequence */
     struct    CvTreeNode* h_next; /* next sequence */

modules/core/src/mathfuncs_core.simd.hpp

@@ -422,7 +422,7 @@ void log64f(const double *src, double *dst, int n)
 
 #define EXPPOLY_32F_A0 .9670371139572337719125840413672004409288e-2
 
-// the code below uses _mm_cast* intrinsics, which are not avialable on VS2005
+// the code below uses _mm_cast* intrinsics, which are not available on VS2005
 #if (defined _MSC_VER && _MSC_VER < 1500) || \
 (!defined __APPLE__ && defined __GNUC__ && __GNUC__*100 + __GNUC_MINOR__ < 402)
 #undef CV_SSE2

modules/imgcodecs/src/exif.cpp

@@ -215,7 +215,7 @@ size_t ExifReader::getFieldSize ()
  * @brief Filling m_exif member with exif directory elements
  *          This is internal function and is not exposed to client
  *
- *  @return The function doesn't return any value. In case of unsiccessful parsing
+ *  @return The function doesn't return any value. In case of unsuccessful parsing
  *      the m_exif member is not filled up
  */
 void ExifReader::parseExif()

modules/imgcodecs/src/rgbe.cpp

@@ -51,7 +51,7 @@
 // developed by Greg Ward.  It handles the conversions between rgbe and
 // pixels consisting of floats.  The data is assumed to be an array of floats.
 // By default there are three floats per pixel in the order red, green, blue.
-// (RGBE_DATA_??? values control this.)  Only the mimimal header reading and
+// (RGBE_DATA_??? values control this.)  Only the minimal header reading and
 // writing is implemented.  Each routine does error checking and will return
 // a status value as defined below.  This code is intended as a skeleton so
 // feel free to modify it to suit your needs.

modules/ts/src/ts_gtest.cpp

@@ -8284,8 +8284,8 @@ DeathTest::TestRole WindowsDeathTest::AssumeRole() {
   GTEST_DEATH_TEST_CHECK_(::CreateProcessA(
       executable_path,
       const_cast<char*>(command_line.c_str()),
-      NULL,   // Retuned process handle is not inheritable.
-      NULL,   // Retuned thread handle is not inheritable.
+      NULL,   // Returned process handle is not inheritable.
+      NULL,   // Returned thread handle is not inheritable.
       TRUE,   // Child inherits all inheritable handles (for write_handle_).
       0x0,    // Default creation flags.
       NULL,   // Inherit the parent's environment.

modules/video/src/ecc.cpp

@@ -550,7 +550,7 @@ double cv::findTransformECC(InputArray templateImage,
 
         const double correlation = templateZM.dot(imageWarped);
 
-        // calculate enhanced correlation coefficiont (ECC)->rho
+        // calculate enhanced correlation coefficient (ECC)->rho
         last_rho = rho;
         rho = correlation/(imgNorm*tmpNorm);
         if (cvIsNaN(rho)) {

modules/video/src/lkpyramid.cpp

@@ -1283,7 +1283,7 @@ void SparsePyrLKOpticalFlowImpl::calc( InputArray _prevImg, InputArray _nextImg,
             levels1 /= 2;
         }
 
-        // ensure that pyramid has reqired padding
+        // ensure that pyramid has required padding
         if(levels1 > 0)
         {
             Size fullSize;
@@ -1311,7 +1311,7 @@ void SparsePyrLKOpticalFlowImpl::calc( InputArray _prevImg, InputArray _nextImg,
             levels2 /= 2;
         }
 
-        // ensure that pyramid has reqired padding
+        // ensure that pyramid has required padding
         if(levels2 > 0)
         {
             Size fullSize;

samples/cpp/videocapture_openni.cpp

@@ -177,7 +177,7 @@ int main( int argc, char* argv[] )
     else
         capture.set(CAP_OPENNI_IR_GENERATOR_PRESENT, false);
 
-    // Print some avalible device settings.
+    // Print some available device settings.
     if (capture.get(CAP_OPENNI_DEPTH_GENERATOR_PRESENT))
     {
         cout << "\nDepth generator output mode:" << endl <<