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| Content Provider | ACM Digital Library |
|---|---|
| Author | Gobbetti, Enrico RodrÃguez, Marcos Balsa Tinti, Alex Marton, Fabio |
| Abstract | We present a software architecture for distributing and rendering gigantic 3D triangle meshes on common handheld devices. Our approach copes with strong bandwidth and hardware capabilities limitations in terms with a compression-domain adaptive multiresolution rendering approach. The method uses a regular conformal hierarchy of tetrahedra to spatially partition the input 3D model and to arrange mesh fragments at different resolution. We create compact GPU-friendly representations of these fragments by constructing cache-coherent strips that index locally quantized vertex data, exploiting the bounding tetrahedron for creating local barycentic parametrization of the geometry. For the first time, this approach supports local quantization in a fully adaptive seamless 3D mesh structure. For web distribution, further compression is obtained by exploiting local data coherence for entropy coding. At run-time, mobile viewer applications adaptively refine a local multiresolution model maintained in a GPU by asynchronously loading from a web server the required fragments. CPU and GPU cooperate for decompression, and a shaded rendering of colored meshes is performed at interactive speed directly from an intermediate compact representation using only 8bytes/vertex, therefore coping with both memory and bandwidth limitations. The quality and performance of the approach is demonstrated with the interactive exploration of gigatriangle-sized models on common mobile platforms. |
| Starting Page | 99 |
| Ending Page | 107 |
| Page Count | 9 |
| File Format | PDF MP4 |
| ISBN | 9781450321334 |
| DOI | 10.1145/2466533.2466541 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-06-20 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Compressed streaming Multiresolution Mobile graphics Massive models |
| Content Type | Audio Text |
| Resource Type | Article |
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