23 September 2014 Source coding for transmission of reconstructed dynamic geometry: a rate-distortion-complexity analysis of different approaches
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Abstract
Live 3D reconstruction of a human as a 3D mesh with commodity electronics is becoming a reality. Immersive applications (i.e. cloud gaming, tele-presence) benefit from effective transmission of such content over a bandwidth limited link. In this paper we outline different approaches for compressing live reconstructed mesh geometry based on distributing mesh reconstruction functions between sender and receiver. We evaluate rate-performance-complexity of different configurations. First, we investigate 3D mesh compression methods (i.e. dynamic/static) from MPEG-4. Second, we evaluate the option of using octree based point cloud compression and receiver side surface reconstruction.
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Rufael N. Mekuria, Rufael N. Mekuria, Pablo Cesar, Pablo Cesar, Dick C. A. Bulterman, Dick C. A. Bulterman, } "Source coding for transmission of reconstructed dynamic geometry: a rate-distortion-complexity analysis of different approaches", Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92170S (23 September 2014); doi: 10.1117/12.2063657; https://doi.org/10.1117/12.2063657
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