Skip navigation
  •  Inicio
  • UDC 
    • Cómo depositar
    • Políticas do RUC
    • FAQ
    • Dereitos de Autor
    • Máis información en INFOguías UDC
  • Percorrer 
    • Comunidades
    • Buscar por:
    • Data de publicación
    • Autor
    • Título
    • Materia
  • Axuda
    • español
    • Gallegan
    • English
  • Acceder
  •  Galego 
    • Español
    • Galego
    • English
  
Ver ítem 
  •   RUC
  • Facultade de Informática
  • Investigación (FIC)
  • Ver ítem
  •   RUC
  • Facultade de Informática
  • Investigación (FIC)
  • Ver ítem
JavaScript is disabled for your browser. Some features of this site may not work without it.

Real-time Deblocked GPU Rendering of Compressed Volumes

Thumbnail
Ver/abrir
Iglesias_Guitian_JoseA_2014_Real_time_Deblocked_GPU_Rendering_of_Compressed_Volumes.pdf (2.958Mb)
Use este enlace para citar
http://hdl.handle.net/2183/41920
Coleccións
  • Investigación (FIC) [1728]
Metadatos
Mostrar o rexistro completo do ítem
Título
Real-time Deblocked GPU Rendering of Compressed Volumes
Autor(es)
Marton, Fabio
Iglesias-Guitian, Jose A.
Díaz, Jose
Gobbetti, Enrico
Data
2014
Cita bibliográfica
Marton, F., Iglesias-Guitián, J. A., Díaz, J., & Gobbetti, E. (2014, January). Real-time deblocked GPU rendering of compressed volumes. In Vision, Modeling & Visualization, Eurographics Association, 978-3-905674-74-3, pp. 167-174. https://doi.org/10.2312/vmv.20141290
Resumo
[Abstract]: The wide majority of current state-of-the-art compressed GPU volume renderers are based on block-transform coding, which is susceptible to blocking artifacts, particularly at low bit-rates. In this paper we address the problem for the first time, by introducing a specialized deferred filtering architecture working on block-compressed data and including a novel deblocking algorithm. The architecture efficiently performs high quality shading of massive datasets by closely coordinating visibility- and resolution-aware adaptive data loading with GPU-accelerated per-frame data decompression, deblocking, and rendering. A thorough evaluation including quantitative and qualitative measures demonstrates the performance of our approach on large static and dynamic datasets including a massive 5124 turbulence simulation (256GB), which is aggressively compressed to less than 2 GB, so as to fully upload it on graphics board and to explore it in real-time during animation.
Palabras chave
Picture/Image generation
Computer graphics
Coding and Information theory
Data compaction and compression
Three-dimensional graphics and realism
 
Descrición
Presented at the 19th International Workshop on Vision, Modeling, and Visualization, VMV 2014, Darmstadt, Germany, October 8-10, 2014.
Versión do editor
https://doi.org/10.2312/vmv.20141290
ISBN
978-3-905674-74-3

Listar

Todo RUCComunidades e colecciónsPor data de publicaciónAutoresTítulosMateriasGrupo de InvestigaciónTitulaciónEsta colecciónPor data de publicaciónAutoresTítulosMateriasGrupo de InvestigaciónTitulación

A miña conta

AccederRexistro

Estatísticas

Ver Estatísticas de uso
Sherpa
OpenArchives
OAIster
Scholar Google
UNIVERSIDADE DA CORUÑA. Servizo de Biblioteca.    DSpace Software Copyright © 2002-2013 Duraspace - Suxestións