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    This study introduces a novel video warping algorithm to fix facial distortions in wide-angle videos. The method uses local stereographic projection, significantly improving video quality and user preference.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Computer Graphics

    Background:

    • Wide-angle cameras in social media (vlogs, selfies) cause facial distortions due to perspective projection.
    • Distorted faces near video edges degrade visual quality and user experience.

    Purpose of the Study:

    • To develop an algorithm for correcting perspective-induced facial distortions in wide-angle videos.
    • To enhance video quality by preserving facial features and background integrity.

    Main Methods:

    • A video warping algorithm applying local stereographic projection to facial regions.
    • Mesh warping formulated via spatial-temporal energy minimization.
    • Line-preservation term to maintain background straightness and temporal smoothness constraints for coherency.

    Main Results:

    • Significant reduction in facial feature distortion for wide-angle videos.
    • Preservation of straight lines in the background, maintaining visual integrity.
    • User studies indicate 83.9% preference for the proposed algorithm over alternatives.

    Conclusions:

    • The proposed video warping algorithm effectively corrects wide-angle facial distortions.
    • The method balances facial correction with background integrity and temporal consistency.
    • This technique offers a substantial improvement for social media video content creation.