submitted on 2024-09-15, 11:05 and posted on 2024-09-15, 11:06authored byTaha Alhersh, Samir Belhaouari, Heiner Stuckenschmidt
<p dir="ltr">Significant amount of research has been conducted on optical flow estimation in previous decades. How[1]ever, only limited number of research has been conducted on performance analysis of optical flow. These evaluations have shortcomings and a theoretical justification of using one approach and why is needed. In practice, design choices are often made based on qualitative unmotivated criteria or by trial and error. In this paper, novel optical flow performance metrics are proposed and evaluated alongside with current metrics. Our empirical findings suggest using two new optical flow performance metrics namely: Normalized Euclidean Error (NEE) and Enhanced Normalized Euclidean Error version one (ENEE1) for optical flow performance evaluation with ground truth.</p><h2>Other Information</h2><p dir="ltr">Published in: Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications<br>License: <a href="https://creativecommons.org/licenses/by-nc-nd/4.0/" target="_blank">https://creativecommons.org/licenses/by-nc-nd/4.0/</a><br>See conference contribution on publisher's website: <a href="https://dx.doi.org/10.5220/0008936207490758" target="_blank">https://dx.doi.org/10.5220/0008936207490758</a></p>
ISBN - Is published in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (urn:isbn:978-989-758-402-2)
Language
English
Publisher
SCITEPRESS - Science and Technology Publications
Publication Year
2020
License statement
This Item is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.