CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Compressing color data for voxelized surface geometry

Dan Dolonius (Institutionen för data- och informationsteknik, Datorteknik (Chalmers)) ; Erik Sintorn (Institutionen för data- och informationsteknik, Datorteknik (Chalmers)) ; Viktor Kämpe (Institutionen för data- och informationsteknik, Datorteknik (Chalmers)) ; Ulf Assarsson (Institutionen för data- och informationsteknik, Datorteknik (Chalmers))
Proceedings of the 21st ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games p. 13:1--13:10. (2017)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: compression, voxelization



Denna post skapades 2017-04-03.
CPL Pubid: 248776

 

Läs direkt!


Länk till annan sajt (kan kräva inloggning)


Institutioner (Chalmers)

Institutionen för data- och informationsteknik, Datorteknik (Chalmers)

Ämnesområden

Datorteknik

Chalmers infrastruktur