OPENCV & C++ TUTORIALS - 143 | Object Tracking - 11 | VariationalRefinement() class member functions

Опубликовано: 23 Март 2026
на канале: Computer Vision Lab
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A variational refinement method that improves the accuracy of the initial optical flow estimates using variational techniques. This can be applied to the output flows of any other optical flow class. Because of this situation it requires initial flow estimates, computationally expensive on the other hand it significantly improves the accuracy of initial optical flow estimates. This video contains the member functions and parameters of this Optical flow class.

🌠 I will continue to this tutorial series with this plan : https://docs.opencv.org/4.3.0/modules...

🌠cv::VariationalRefinement class: https://docs.opencv.org/4.3.0/d2/d4b/...

🌠 You may want to watch also:    • C++ Machine Learning Project - 1 | Getting...  

🌠 Stackoverflow: https://stackoverflow.com/users/11048...

🌠 Github: https://github.com/yunus-temurlenk?ta...

🌠 Twitter:   / code_enjoy  

🌠Hashnode: https://yunustemurlenk.hashnode.dev/

▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬

0:00 - Introduction
0:13 - Coding part

If you see any mistake and any advice please comment. Thanks for watching...

#opencv, #tutorial, #VariationalRefinement