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.  
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#include <opencv2/optflow/pcaflow.hpp>
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. 
 
◆ PCAPrior()
      
        
          | cv::optflow::PCAPrior::PCAPrior  | 
          ( | 
          const char *  | 
          pathToPrior | ) | 
           | 
        
      
 
 
◆ fillConstraints()
      
        
          | void cv::optflow::PCAPrior::fillConstraints  | 
          ( | 
          float *  | 
          A1,  | 
        
        
           | 
           | 
          float *  | 
          A2,  | 
        
        
           | 
           | 
          float *  | 
          b1,  | 
        
        
           | 
           | 
          float *  | 
          b2  | 
        
        
           | 
          ) | 
           |  const | 
        
      
 
 
◆ getBasisSize()
  
  
      
        
          | int cv::optflow::PCAPrior::getBasisSize  | 
          ( | 
           | ) | 
           const | 
         
       
   | 
  
inline   | 
  
 
 
◆ getPadding()
  
  
      
        
          | int cv::optflow::PCAPrior::getPadding  | 
          ( | 
           | ) | 
           const | 
         
       
   | 
  
inline   | 
  
 
 
The documentation for this class was generated from the following file: