Perceptually Coded Transmission of Arbitrary 3D Objects Over Burst Packet Loss Channels Enhanced with a Generic JND Formulation
In this paper, the authors propose a new approach to account for burst packet loss during transmission of 3D objects represented by texture and mesh over unreliable networks. Their strategy includes applying stripification on the 3D mesh following the valence-driven algorithm and distributing nearby vertices into different packets, combined with an interleaving technique that does not need texture or mesh packets to be re-transmitted. The perceptually-driven technique is able to successfully interpolate lost mesh features even under severe packet loss. The reconstructed mesh is further improved by applying their curvature-driven probabilistic strategy to safeguard visually significant structures on the 3D surface.