#include "opencv2/core.hpp"
#include "opencv2/video.hpp"

クラス
class	cv::optflow::PCAPrior
	This class can be used for imposing a learned prior on the resulting optical flow. Solution will be regularized according to this prior. You need to generate appropriate prior file with "learn_prior.py" script beforehand. [詳解]

class	cv::optflow::OpticalFlowPCAFlow
	PCAFlow algorithm. [詳解]

名前空間
namespace	cv
	"black box" representation of the file storage associated with a file on disk.

関数
CV_EXPORTS_W Ptr< DenseOpticalFlow >	cv::optflow::createOptFlow_PCAFlow ()
	Creates an instance of PCAFlow

詳解

Implementation of the PCAFlow algorithm from the following paper: http://files.is.tue.mpg.de/black/papers/cvpr2015_pcaflow.pdf

[Wulff:CVPR:2015]

There are some key differences which distinguish this algorithm from the original PCAFlow (see paper):

Discrete Cosine Transform basis is used instead of basis extracted with PCA. Reasoning: DCT basis has comparable performance and it doesn't require additional storage space. Also, this decision helps to avoid overloading the algorithm with a lot of external input.
Usage of built-in OpenCV feature tracking instead of libviso.

クラス