Proceedings Paper
Source coding for transmission of reconstructed dynamic geometry: a rate-distortion-complexity analysis of different approaches| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 23 September 2014
PDF: 14 pages
Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92170S (23 September 2014); doi: 10.1117/12.2063657
Published in SPIE Proceedings Vol. 9217:
Applications of Digital Image Processing XXXVII
Andrew G. Tescher, Editor(s)
PDF: 14 pages
Proc. SPIE 9217, Applications of Digital Image Processing XXXVII, 92170S (23 September 2014); doi: 10.1117/12.2063657
Show Author Affiliations
Rufael N. Mekuria, Centrum Wiskunde Informatica (Netherlands)
Pablo Cesar, Centrum Wiskunde Informatica (Netherlands)
Pablo Cesar, Centrum Wiskunde Informatica (Netherlands)
Dick C. A. Bulterman, Vrije Univ. Amsterdam (Netherlands)
FX Palo Alto Lab. (United States)
FX Palo Alto Lab. (United States)
Published in SPIE Proceedings Vol. 9217:
Applications of Digital Image Processing XXXVII
Andrew G. Tescher, Editor(s)
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