SCIENTIFIC COMPUTING AND IMAGING INSTITUTE
at the University of Utah

An internationally recognized leader in visualization, scientific computing, and image analysis

SCI Publications

2000


D.M. Weinstein, P. Krysl, C.R. Johnson. “The BioPSE Inverse EEG Modeling Pipeline,” In ISGG 7th International Conference on Numerical Grid Generation in Computation Field Simulations, The International Society of Grid Generation, Mississippi State University pp. 1091--1100. 2000.


R. Westermann, C.R. Johnson, T. Ertl. “A Level-Set Method for Flow Visualization,” In Proceeding of IEEE Visualization 2000, IEEE Computer Society, Salt Lake City pp. 147--154. 2000.


L. Zhukov, D. Weinstein, C.R. Johnson. “Statistical Analysis For FEM EEG Source Localization in Realistic Head Models,” School of Computing Technical Report, No. UUCS-2000-003, University of Utah, February, 2000.


L. Zhukov, D.M. Weinstein, C.R. Johnson. “Reciprocity Basis for EEG Source Imaging,” In NeuroImage (suppl.), pp. 598. 2000.


L. Zhukov, D. Weinstein, C.R. Johnson. “Independent Component Analysis for EEG Source Localization in Realistic Head Models,” In IEEE Engineering in Medicine and Biology, Vol. 19, No. 3, pp. 87--96. 2000.

1999


O. Alter, Y. Yamamoto. “Fundamental Quantum Limit to External Force Detection via Monitoring a Single Harmonic Oscillator or Free Mass,” In Physics Letters A, Vol. 236, No. 4-6, pp. 226--231. 1999.
DOI: 10.1016/S0375-9601(99)00743-4


R. Armstrong, D. Gannon, A. Geist, K. Keahey, S. Kohn, L. McInnes, S.G. Parker, B. Smolinksi. “Toward a Common Component Architecture for High-Performance Scientific Computing,” In Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computation (HPDC), August, 1999.


C.L. Bajaj, C. Baldazzi, S. Cutchin, A. Paoluzzi, V. Pascucci, M. Vicentino. “A Programming Approach for Complex Animations,” In Computer Aided Design, Vol. 31, No. 11, pp. 695--710. 1999.


C.L. Bajaj, V. Pascucci, G. Zhuang. “Single Resolution Compression of Arbitrary Triangular Meshes with Properties,” In Computational Geometry: Theory and Applications, Vol. 14, No. 1--3, pp. 167--186. 1999.
ISSN: 0925-7721
DOI: 10.1016/S0925-7721(99)00026-7

ABSTRACT

Triangular meshes are widely used as primary representation of surface models for networked gaming and for complex interactive design in manufacturing. Accurate triangulation of a surface with sharp features (highly varying curvatures, holes) may require an extremely large number of triangles. Fast transmission of such large triangle meshes is critical to many applications that interactively manipulate geometric models in remote networked environments. The need for a succinct representation is therefore not only to reduce static storage requirements, but also to consume less network bandwidth and thus reduce the transmission time.

In this paper we address the problem of defining a space efficient encoding scheme for both lossless and error-bounded lossy compression of triangular meshes that is robust enough to handle directly arbitrary sets of triangles including non-orientable meshes, non-manifold meshes and even non-mesh cases. The compression is achieved by capturing the redundant information in both the topology (connectivity) and geometry with possibly property attributes. Example models and results are also reported.


C.L. Bajaj, V. Pascucci, D.R. Schikore. “Data Visualization Techniques,” Trends in Software, Vol. 6, Ch. 3: Accelerated IsoContouring of Scalar Fields, John Wiley & Sons, pp. 31--47. 1999.


C.L. Bajaj, V. Pascucci, G. Zhuang. “Progressive Compression and Transmission of Arbitrary Triangular Meshes,” In Proceedings of the 10th Annual IEEE Conference on Visualization (VIS-99), San Francisco, CA, pp. 307--316. October 24-29, 1999.


C.L. Bajaj, V. Pascucci, D. Thompson, X.Y. Zhang. “Parallel Accelerated Isocontouring for Out-Of-Core Visualization,” In Proceedings of First Parallel Visualization and Graphics Symposium 1999, San Francisco, CA, IEEE Computer Society, October, 1999.


C.L. Bajaj, V. Pascucci, G. Zhuang. “Single Resolution Compression of Arbitrary Triangular Meshes with Properties,” In Proceedings of DCC: Data Compression Conference 1999, IEEE Computer Society, Snowbird, Utah March, 1999.


C.L. Bajaj, S. Cutchin, V. Pascucci, A. Paoluzzi, C. Morgia. “Web Based Collaborative CAAD,” In Proceedings of the 5th Symposium on Solid Modeling and Applications, 1999.


C. Bajaj, V. Pascucci, E. Petajan, G. Zhuang. “Polygonal Model Coding Evaluation for Low bit-rate Communication,” In Proceedings of the International Workshop on Synthetic - Natural Hybrid Coding and Three Dimensional Imaging, September, 1999.


M. Berzins, L.J.K. Durbeck. “Unstructured Mesh Methods Applied to Hyperbolic PDEs with Source Terms: Error Estimates and Mesh Quality,” In Godunov Methods: Theory and Applications Conference and Short Course, Oxford. numeritek Ltd.URL, October, 1999.


M. Berzins, J. Nash, P. Selwood. “Parallel Solution of Reacting Flow Problems using Unstructured Tetrahedral Meshes,” In Proceedings of 9th SIAM Parallel Processing for Scientific Computing, Philadelphia, PA, 1999.
ISBN: 0-89871-435-4


M. Berzins. “A Solution Based H1 Norm Triangular Mesh Quality Indicator,” In Grid Generation and Adaptive Algorithms, Edited by Marshal W. Bern, Joseph E. Flaherty, Mitchell Luskin, Springer, pp. 77-88. 1999.

ABSTRACT

The issue of mesh quality measures for triangular (and tetrahedral) meshes is considered. A new mesh quality measure is based both on geometrical and solution information and is derived by considering the error in the H 1 norm when linear triangular elements are used to approximate a quadratic function. The new measure is then compared with the recent mesh quality measure based on the L 2 norm. Simple examples are used to show that the choice of norm is critical in deciding what is a good triangulation


M. Berzins. “Mesh Quality - Geometry, Error Estimates or Both?,” In Engineering and Computers, Vol. 15, pp. 236--247. 1999.


D. Botstein, L. Smarr, D. Agard, M. Levitt, D. Lippman, D. Herrington, C.R. Johnson, G Rose, G. Rubin, A. Levison, M. Spence, H. Smith, C. Peskin, G. Jacobs. “NIH Biomedical Information Science and Technology Initiative (BISTI),” Note: Prepared by the Working Group on Biomedical Computing Advisory Committee to the Director, National Institutes of Health, July, 1999.

ABSTRACT

The biomedical community is increasingly taking advantage of the power of computing, both to manage and analyze data, and to model biological processes. The working group should investigate the needs of NIH-supported investigators for computing resources, including hardware, software, networking, algorithms, and training. It should take into account efforts to create a national information infrastructure, and look at working with other agencies (particularly NSF and DOE) to ensure that the research needs of the NIH-funded community are met.

It should also investigate the impediments biologists face in utilizing high-end computing, such as a paucity of researchers with cross-disciplinary skills. The panel should consider both today's unmet needs and the growing requirements over the next five years (a reasonable horizon for extrapolating the advances in the rapidly changing fields of computing and computational biology).

The result of deliberations should be a report to the NIH Director, which will be presented to the Advisory Committee to the Director. The report should include recommendations for NIH actions to support the growing needs of NIH-funded investigators for biomedical computing.