Abstract:

Current graphics and visualization systems have to be built such that they can handle gigantic data sets like those from large scientific simulations including nuclear and power simulations, and geometric data sets such as digital models of defense and commercial equipments like aircrafts, ships and power-plants. Such large data sets cannot fit into the main memory of the machines or rendered interactively in current graphics systems. This project involves fundamental research in designing algorithms for efficient compression of these large data sets that enables fast decompression of the required portion of the data set in the main-memory and efficient interactive rendering of these data sets.

This study explores three research directions to solve the problem of interactive walkthrough of gigantic data sets: syntactic compression, semantic compression, and access sensitive data layouts. Syntactic compression deals with compressing data bits. In this project, compression algorithms that exhibit properties like random-access decompression and stop-any-time decompression are studied. Semantic compression deals with representing objects with fewer primitives. In this context, this research studies parameterizable semantic compression algorithms that trades-off space for compression efficiency. Finally, optimal data layouts depend on application, and this study explores optimal data layout schemes of the 3D data sets on external memory for interactive walkthrough applications. This includes partitioning of the 3D data set using different metrics like normal vector deviation and spatial distance between objects, and computing the linear layout of these partitions in the external memory using graph algorithms.

Funding Information:

We are thankful to NSF for funding this project through Award Number: CPA: 0811809.

Publications:

	Data Management for SSDs for Large-Scale Interactive Graphics Applications Behzad Sajadi, Shan Jiang, Jae-Pil Heo, Sung-Eui Yoon, M. Gopi ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D), 2011. [pdf] [Video]
	Feature Oriented Progressive Lossless Mesh Coding Jingliang Peng, Yan Huang, C.-C. Jay Kuo, Ilya Eckstein, M. Gopi Pacific Graphics, 2010. [pdf]
	Streaming Surface Sampling Using Gaussian e-nets Pablo Diaz-Gutierrez, Jonas Bosch, Renato Pajarola, M. Gopi Computer Graphics International, 2009. [pdf]
	A Novel Page-Based Data Structure for Interactive Walkthroughs Behzad Sajadi, Yan Huang, Pablo Diaz-Gutierrez, Sung-Eui Yoon, M. Gopi ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D), Feb 2009. [pdf] [Video]
	A Generic Scheme for Progressive Point Cloud Coding Yan Huang, Jingliang Peng, C.-C Jay Kuo, M. Gopi IEEE Trans. on Visualization and Computer Graphics, pp 440-453, 14(2), Mar/Apr 2008. [pdf]

Dataset:

1. City Model in Page Format

Number of Vertices: 117,477,050

Number of Triangles: 107,577,969

Number of Pages: 931,166

Author: Behzad Sajadi, Shan Jiang, M. Gopi

Download:

Readme File: readme.txt

Data Reader: pageReader.cpp

Renderer: OutOfCoreRenderer.zip

Data File 1: CityModel.zip

Data File 2: kdtree.zip

Images:

$Description: Description: Description: Description: Description: Description: Description: C:\Users\Legendarywhite\Desktop\Walkthrough Website\index_files\image004.png$ $Description: Description: Description: Description: Description: Description: Description: C:\Users\Legendarywhite\Desktop\Walkthrough Website\index_files\image005.png$ $Description: Description: Description: Description: Description: Description: Description: C:\Users\Legendarywhite\Desktop\Walkthrough Website\index_files\image006.png$ $Description: Description: Description: Description: Description: Description: Description: C:\Users\Legendarywhite\Desktop\Walkthrough Website\index_files\image007.png$