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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kämpe, Viktor Assarsson, Ulf Dolonius, Dan Sintorn, Erik |
| Abstract | We explore the problem of decoupling color information from geometry in large scenes of voxelized surfaces and of compressing the array of colors without introducing disturbing artifacts. First, we present a novel method for connecting each node in a sparse voxel DAG to its corresponding colors in a separate 1D array of colors, with very little additional information stored to the DAG. Then, we show that by mapping the 1D array of colors onto a 2D image using a space-filling curve, we can achieve high compression rates and good quality using conventional, modern, hardware-accelerated texture compression formats such as ASTC or BC7. We additionally explore whether this method can be used to compress voxel colors for off-line storage and network transmission using conventional off-line compression formats such as JPG and JPG2K. For real-time decompression, we suggest a novel variable bitrate block encoding that consistently outperforms previous work, often achieving two times the compression at equal quality. |
| Starting Page | 1 |
| Ending Page | 10 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450348867 |
| DOI | 10.1145/3023368.3023381 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-02-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Compression Voxelization |
| Content Type | Text |
| Resource Type | Article |
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