A-PARM: Adaptive division of sub-cells in the PARM for efficient volume ray casting

Sukhyun Lim, Byeong Seok Shin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The PARM is a data structure to ensure interactive frame rates on a PC platform for CPU-based volume ray casting. After determining candidate cells that contribute to the final images, it partitions each candidate cell into several sub-cells. Then, it stores trilinearly interpolated scalar value and an index of encoded gradient vector for each sub-cell. Since the information that requires time-consuming computations is already stored in the structure, the rendering time is reduced. However, it requires huge memory space because most precomputed values are loaded in the system memory. We solve it by adaptively dividing candidate cells into different sub-cells. That is, we divide a candidate cell in which the gradient is strictly changed into a large number of sub-cells, and vice versa. By this approach, we acquire moderate images while reducing the memory size.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2007 - 7th International Conference, Proceedings, Part I
PublisherSpringer Verlag
Pages505-512
Number of pages8
ISBN (Print)9783540725831
DOIs
StatePublished - 2007
Event7th International Conference on Computational Science, ICCS 2007 - Beijing, China
Duration: 27 May 200730 May 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4487 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Computational Science, ICCS 2007
Country/TerritoryChina
CityBeijing
Period27/05/0730/05/07

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