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.
🌠 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
1:18 - Coding part
If you see any mistake and any advice please comment. Thanks for watching...
#opencv, #tutorial, #VariationalRefinement
In questa pagina del sito puoi guardare il video online OPENCV & C++ TUTORIALS - 142 | Object Tracking - 10 | VariationalRefinement() Optical Flow della durata di ore minuti seconda in buona qualità , che l'utente ha caricato Computer Vision Lab 04 agosto 2024, condividi il link con amici e conoscenti, su youtube questo video è già stato visto 293 volte e gli è piaciuto 9 spettatori. Buona visione!