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: