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			Conflicts: cmake/OpenCVConfig.cmake cmake/OpenCVLegacyOptions.cmake modules/contrib/src/retina.cpp modules/gpu/doc/camera_calibration_and_3d_reconstruction.rst modules/gpu/doc/video.rst modules/gpu/src/speckle_filtering.cpp modules/python/src2/cv2.cv.hpp modules/python/test/test2.py samples/python/watershed.py
		
			
				
	
	
		
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			81 lines
		
	
	
		
			3.8 KiB
		
	
	
	
		
			ReStructuredText
		
	
	
	
	
	
| Motion Analysis
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| ===============
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| 
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| .. highlight:: cpp
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| 
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| 
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| CalcOpticalFlowBM
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| -----------------
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| Calculates the optical flow for two images by using the block matching method.
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| 
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| .. ocv:cfunction:: void cvCalcOpticalFlowBM( const CvArr* prev, const CvArr* curr, CvSize block_size, CvSize shift_size, CvSize max_range, int use_previous, CvArr* velx, CvArr* vely )
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| 
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|         :param prev: First image, 8-bit, single-channel
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| 
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|         :param curr: Second image, 8-bit, single-channel
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| 
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|         :param block_size: Size of basic blocks that are compared
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| 
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|         :param shift_size: Block coordinate increments
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| 
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|         :param max_range: Size of the scanned neighborhood in pixels around the block
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| 
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|         :param use_previous: Flag that specifies whether to use the input velocity as initial approximations or not.
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| 
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|         :param velx: Horizontal component of the optical flow of
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| 
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|             .. math::
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| 
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|                 \left \lfloor   \frac{\texttt{prev->width} - \texttt{block\_size.width}}{\texttt{shift\_size.width}}   \right \rfloor \times \left \lfloor   \frac{\texttt{prev->height} - \texttt{block\_size.height}}{\texttt{shift\_size.height}}   \right \rfloor
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| 
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|             size, 32-bit floating-point, single-channel
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| 
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|         :param vely: Vertical component of the optical flow of the same size  ``velx`` , 32-bit floating-point, single-channel
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| 
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| 
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| The function calculates the optical flow for overlapped blocks ``block_size.width x block_size.height`` pixels each, thus the velocity fields are smaller than the original images. For every block in  ``prev``
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| the functions tries to find a similar block in ``curr`` in some neighborhood of the original block or shifted by ``(velx(x0,y0), vely(x0,y0))`` block as has been calculated by previous function call (if ``use_previous=1``)
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| 
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| 
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| CalcOpticalFlowHS
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| -----------------
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| Calculates the optical flow for two images using Horn-Schunck algorithm.
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| 
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| .. ocv:cfunction:: void cvCalcOpticalFlowHS(const CvArr* prev, const CvArr* curr, int use_previous, CvArr* velx, CvArr* vely, double lambda, CvTermCriteria criteria)
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| 
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|     :param prev: First image, 8-bit, single-channel
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| 
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|     :param curr: Second image, 8-bit, single-channel
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| 
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|     :param use_previous: Flag that specifies whether to use the input velocity as initial approximations or not.
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| 
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|     :param velx: Horizontal component of the optical flow of the same size as input images, 32-bit floating-point, single-channel
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| 
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|     :param vely: Vertical component of the optical flow of the same size as input images, 32-bit floating-point, single-channel
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| 
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|     :param lambda: Smoothness weight. The larger it is, the smoother optical flow map you get.
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| 
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|     :param criteria: Criteria of termination of velocity computing
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| 
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| The function computes the flow for every pixel of the first input image using the Horn and Schunck algorithm [Horn81]_. The function is obsolete. To track sparse features, use :ocv:func:`calcOpticalFlowPyrLK`. To track all the pixels, use :ocv:func:`calcOpticalFlowFarneback`.
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| 
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| 
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| CalcOpticalFlowLK
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| -----------------
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| 
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| Calculates the optical flow for two images using Lucas-Kanade algorithm.
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| 
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| .. ocv:cfunction:: void cvCalcOpticalFlowLK( const CvArr* prev, const CvArr* curr, CvSize win_size, CvArr* velx, CvArr* vely )
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| 
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|     :param prev: First image, 8-bit, single-channel
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| 
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|     :param curr: Second image, 8-bit, single-channel
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| 
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|     :param win_size: Size of the averaging window used for grouping pixels
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| 
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|     :param velx: Horizontal component of the optical flow of the same size as input images, 32-bit floating-point, single-channel
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| 
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|     :param vely: Vertical component of the optical flow of the same size as input images, 32-bit floating-point, single-channel
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| 
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| The function computes the flow for every pixel of the first input image using the Lucas and Kanade algorithm [Lucas81]_. The function is obsolete. To track sparse features, use :ocv:func:`calcOpticalFlowPyrLK`. To track all the pixels, use :ocv:func:`calcOpticalFlowFarneback`.
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