AI RESEARCH
Rotation-Invariant Spherical Watermarking via Third-Order SO(3) Representation Coupling
arXiv CS.AI
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ArXi:2605.26702v1 Announce Type: cross Reliable watermarking of panoramic imagery is fundamentally challenged by arbitrary 3D rotations. As panoramas are defined on the sphere, they naturally transform under the action of $SO(3)$, rendering conventional planar representations and augmentation-based robustness strategies inadequate and devoid of theoretical guarantees. To address this, we formulate panoramas as spherical signals and leverage $SO(3)$ representation theory to derive provably rotation-invariant descriptors.