A Perceptually Driven Model for Transmission of Arbitrary 3D Models over Unreliable Networks

  • Authors:

  • Irene Cheng;Lihang Ying;Anup Basu

  • Affiliations:

  • University of Alberta, Edmonton, Canada;University of Alberta, Edmonton, Canada;University of Alberta, Edmonton, Canada

  • Venue:
  • 3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

3D transmission over unreliable networks needs to take into account the possibility of packet loss. In this work we describe a perceptually motivated strategy for joint transmission of texture and mesh over unreliable networks. The approach is described initially considering regular mesh structure, to show the utility of optimizing the texture-mesh tradeoff. In order to generalize our approach to arbitrary meshes we consider stripification of the mesh, combined with a strategy that does not need texture or vertex packets to be re-transmitted. Only the valence (connectivity) packets need to be re-transmitted; however, storage of valence information requires only 10% space compared to vertices and even less compared to photo-realistic texture. Thus, only less than 5% of the packets may need to be re-transmitted in the worst case to allow our algorithm to successfully reconstruct an acceptable object under severe packet loss. Results showing the implementation of the proposed approach are described.