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    A new metric, Geodesic Patch Similarity (GeodesicPSIM), accurately predicts perceived quality for textured 3D meshes. This model-based approach considers both geometry and color, outperforming existing methods.

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    Area of Science:

    • Computer Graphics
    • Computer Vision
    • Multimedia Processing

    Background:

    • Objective quality evaluation of static meshes with texture maps is crucial for industrial and academic applications.
    • Existing model-based metrics often ignore color information or have strict topological constraints.
    • Image-based and point-based metrics are susceptible to preprocessing artifacts.

    Purpose of the Study:

    • To propose Geodesic Patch Similarity (GeodesicPSIM), a novel model-based metric for accurately predicting human perception quality of static meshes with texture maps.
    • To address limitations of existing metrics by incorporating both geometric and color information.
    • To develop a robust and effective objective quality evaluation method for textured 3D models.

    Main Methods:

    • Construct 1-hop geodesic patches from reference and distorted meshes using selected keypoints and a mesh cleaning algorithm.
    • Employ a two-step patch cropping and texture mapping module to refine patches and integrate geometry with color information.
    • Extract three features: patch color smoothness, discrete mean curvature, and average/variance of pixel color.

    Main Results:

    • GeodesicPSIM demonstrates state-of-the-art performance compared to image-based, point-based, and video-based metrics on a new challenging database.
    • The metric shows robustness across different hyperparameter settings.
    • Ablation studies confirm the effectiveness of the proposed features and the patch cropping algorithm.

    Conclusions:

    • GeodesicPSIM is the first model-based metric specifically designed for static meshes with texture maps.
    • The proposed metric accurately predicts perceived quality by effectively utilizing both geometric and texture information.
    • GeodesicPSIM offers a robust and accurate solution for objective quality assessment in 3D graphics.