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Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
A Perceptually Driven Model for Transmission of Arbitrary 3D Models over Unreliable Networks
University of North Carolina, Chapel Hill, USA
June 14-June 16
ISBN: 0-7695-2825-2
Irene Cheng, University of Alberta, Edmonton, Canada
Lihang Ying, University of Alberta, Edmonton, Canada
Anup Basu, University of Alberta, Edmonton, Canada
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.
Citation:
Irene Cheng, Lihang Ying, Anup Basu, "A Perceptually Driven Model for Transmission of Arbitrary 3D Models over Unreliable Networks," 3dpvt, pp.421-428, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), 2006
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