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Update documentation and samples
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@@ -78,9 +78,10 @@ See the OpenCV sample camshiftdemo.c that tracks colored objects.
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*/
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CV_EXPORTS_W RotatedRect CamShift( InputArray probImage, CV_IN_OUT Rect& window,
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TermCriteria criteria );
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/** @example camshiftdemo.cpp
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/** @example samples/cpp/camshiftdemo.cpp
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An example using the mean-shift tracking algorithm
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*/
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/** @brief Finds an object on a back projection image.
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@param probImage Back projection of the object histogram. See calcBackProject for details.
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@@ -123,9 +124,10 @@ CV_EXPORTS_W int buildOpticalFlowPyramid( InputArray img, OutputArrayOfArrays py
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int derivBorder = BORDER_CONSTANT,
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bool tryReuseInputImage = true );
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/** @example lkdemo.cpp
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/** @example samples/cpp/lkdemo.cpp
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An example using the Lucas-Kanade optical flow algorithm
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*/
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*/
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/** @brief Calculates an optical flow for a sparse feature set using the iterative Lucas-Kanade method with
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pyramids.
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@@ -263,9 +265,9 @@ enum
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MOTION_HOMOGRAPHY = 3
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};
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/** @example image_alignment.cpp
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/** @example samples/cpp/image_alignment.cpp
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An example using the image alignment ECC algorithm
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*/
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*/
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/** @brief Finds the geometric transform (warp) between two images in terms of the ECC criterion @cite EP08 .
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@@ -322,9 +324,10 @@ CV_EXPORTS_W double findTransformECC( InputArray templateImage, InputArray input
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TermCriteria criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 50, 0.001),
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InputArray inputMask = noArray());
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/** @example kalman.cpp
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/** @example samples/cpp/kalman.cpp
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An example using the standard Kalman filter
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*/
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/** @brief Kalman filter class.
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The class implements a standard Kalman filter <http://en.wikipedia.org/wiki/Kalman_filter>,
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