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Published Articles >> Table of Contents >> Abstract
Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04)
pp. 207-214
An Easy Viewer for Out-of-Core Visualization of Huge Point-Sampled Models
Fang Meng, Peking University, Beijing, P. R. China
Hongbin Zha, Peking University, Beijing, P. R. China
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TDPVT.2004.1335196
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| Abstract |
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In this paper, we propose a viewer for huge
point-sampled models by combining out-of-core
technologies with view-dependent level-of-detail (LOD)
control. This viewer is designed on the basis of a
multiresolution data structure we have developed for
gaze-guided visualization and transmission of 3D point
sets. In order to reduce memory loads for huge point sets
on general PC platforms, we introduce a partition-based
out-of-core strategy to balance usage of main and
external memories. At first, the data surface is partitioned
into small blocks and points in each block are reorganized
into error-controlled LODs by hierarchical clustering and
LOD organization. In the interactive rendering process, a
data block scheduling algorithm is used to realize the
view-dependent paging. Experimental results show that
the viewer can perform interactive visualization of huge
point models on commodity graphics platforms with ease.
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 Additional Information
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Citation:
Fang Meng, Hongbin Zha,
"An Easy Viewer for Out-of-Core Visualization of Huge Point-Sampled Models,"
3dpvt,
pp. 207-214,
Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04),
2004
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