Source coding for transmission of reconstructed dynamic geometry: a rate-distortion-complexity analysis of different approaches

Rufael N. Mekuria; Pablo Cesar; Dick C. A. Bulterman

doi:10.1117/12.2063657

23 September 2014 Source coding for transmission of reconstructed dynamic geometry: a rate-distortion-complexity analysis of different approaches

Rufael N. Mekuria, Pablo Cesar, Dick C. A. Bulterman

Author Affiliations +

Proceedings Volume 9217, Applications of Digital Image Processing XXXVII; 92170S (2014) https://doi.org/10.1117/12.2063657
Event: SPIE Optical Engineering + Applications, 2014, San Diego, California, United States

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.

Citation Download Citation

Rufael N. Mekuria, Pablo Cesar, and 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); https://doi.org/10.1117/12.2063657

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