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Robust and Scalable Transmission of Arbitrary 3D Models over Wireless Networks
Author(s) -
Irene Cheng,
Lihang Ying,
Kostas Daniilidis,
Anup Basu
Publication year - 2008
Publication title -
eurasip journal on image and video processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 40
eISSN - 1687-5281
pISSN - 1687-5176
DOI - 10.1155/2008/890482
Subject(s) - computer science , biometrics , scalability , wireless , transmission (telecommunications) , wireless network , computer network , artificial intelligence , telecommunications , database
We describe transmission of 3D objects represented by texture and mesh over unreliable networks, extending our earlier work for regular mesh structure to arbitrary meshes and considering linear versus cubic interpolation. Our approach to arbitrary meshes considers stripification of the mesh and distributing nearby vertices into different packets, combined with a strategy that does not need texture or mesh packets to be retransmitted. Only the valence (connectivity) packets need to be retransmitted; however, storage of valence information requires only 10% space compared to vertices and even less compared to photorealistic texture. Thus, less than 5% of the packets may need to be retransmitted in the worst case to allow our algorithm to successfully reconstruct an acceptable object under severe packet loss. Even though packet loss during transmission has received limited research attention in the past, this topic is important for improving quality under lossy conditions created by shadowing and interference. Results showing the implementation of the proposed approach using linear, cubic, and Laplacian interpolation are described, and the mesh reconstruction strategy is compared with other methods

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