Best Paper Award

Physically-Based Interactive Schlieren Flow Visualization
C. Brownlee, V. Pegoraro, S. Shankar, P. McCormick, C. Hansen

Best Poster Award

Direct Meshing with Topological Structures from
Multi-material Volume Data
Yasuharu Fujiyoshi, Megumi Nakao, Takuya Iwasaki, Kotaro Minato

Interpolating 3D Diffusion Tensors through Optimizing
Rotatoinal Transformations of Anisotropic Features
Chongke Bi, Shigeo Takahashi, Haruhisa Ishida, Issei Fujishiro

MIAOW: A 3D Image Browser Applying a Location- and Time-Based
Hierarchical Data Visualization Technique
Ai Gomi, Takayuki Itoh

Introduction to Vector and Tensor Field Visualization

Instructors:
David Kao, Researcher, NASA Ames Research Center
Han-Wei Shen, Associate Professor, Ohio State University

Vector field visualization techniques are essential to help us understand the complex dynamics of flow fields that can be found in a wide range of applications. Examples of the applications include the studies of flow around an aircraft and the blood flow in our heart chambers, the creation of ocean circulation models, and the prediction of severe weather. Tensor fields are found in several real-world applications and also require the aid of visualization for the users to obtain insight from their data. Examples of tensor fields include responses of materials to external forces, and the neural pathway acquired from diffusion tensor imaging. This tutorial will provide an overview of several techniques commonly used in vector and tensor field visualization.

Introduction to GPU Computing with CUDA and OpenCL

Instructors:
James Shearer, University of California, Davis
Wei-Chao Chen, SDI Corporation and National Taiwan University

This tutorial will provide attendees with an introductory working knowledge of GPU architecture and computing using both NVIDIA's CUDA and The Khronos Group's OpenCL. The lecture covers:

• The motivation behind GPU Computing, example applications, and trends in both hardware and software.
• Discussion of the pertinent graphics hardware which enables GPU computing, with a focus on areas which can dramatically affect program performance.
• An introduction to NVIDIA CUDA.
• An introduction to OpenCL: the platform layer, runtime, and OpenCL C programming language.
• An example OpenCL-accelerated application from the ground up.

Image-Based Biomedical Computing and Visualization

Speaker:
Christopher R. Johnson, Director, Scientific Computing and Imaging Institute, University of Utah

Abstract:
Increasingly, biomedical computing and visualization applications require building functional models from images (MRI, CT, EM, etc.). The "pipeline" for building such models includes image analysis (segmentation, registration, filtering), geometric modeling (surface and volume mesh generation), simulation (FE, FD, BE, linear and non-linear solves, etc.), visualization (scalars, vectors, tensors, etc) and evaluation (uncertainty, error, etc.).

In this talk, I will present research challenges of imagebased biomedical computing and visualization and discuss their application for solving important problems in neuroscience, cardiology, and genetics.

Bio:
Christopher R. Johnson directs the Scientific Computing and Imaging (SCI) Institute at the University of Utah where he is a Distinguished Professor of Computer Science and holds faculty appointments in the Departments of Physics and Bioengineering. His research interests are in the areas of scientific computing and scientific visualization. Dr. Johnson founded the SCI research group in 1992, which has since grown to become the SCI Institute employing over 165 faculty, staff and students. Professor Johnson serves on several international journal editorial boards, as well as on advisory boards to several national and international research centers. Professor Johnson has received several awards, including the NSF Presidential Faculty Fellow (PFF) award from President Clinton in 1995 and the Governor's Medal for Science and Technology from Governor Michael Leavitt in 1999. He is a Fellow of the American Institute for Medical and Biological Engineering (AIMBE), a Fellow of the American Association for the Advancement of Science (AAAS) and a Fellow of the Society of Industrial and Applied Mathematics (SIAM). For more information, please visit http://www.cs.utah.edu/~crj/ .

Advanced Interaction for Information Visualization

Speaker:
Jean-Daniel Fekete, Scientific Leader of the of the INRIA Project Team AVIZ

Abstract:
Information Visualization (InfoVis) is a research field dedicated to the design and evaluation of visual representations and interactions to explore and understand large data set. Until recently, the focus of InfoVis has been more on the graphical representation and less on the interaction. However, several new interactive techniques have been published in the past few years, opening perspectives for InfoVis and HCI practitioners. I describe the work conducted at our group, AVIZ, linking traditional HCI interaction research with InfoVis interaction research. I present our latest techniques for navigating large information spaces with varying dimensionalities and topologies. I outline their applicability in HCI problems that are not traditionally viewed as InfoVis in the hope that they will be experimented and adopted in standard interfaces and, more importantly, to emphasize the fact that interaction design for large information spaces is required for our complex specialized applications as well as our everyday working environment.

Bio:
Jean-Daniel Fekete is a Senior Research Scientist (DR2) at INRIA Saclay - Ile-de-France, one of the leading French national research centers, located in Orsay in the University Paris-Sud. He leads the AVIZ team (hwww.aviz.fr) since 2007, which focuses on Visual Analytics. AVIZ studies the analysis and visualization of large datasets, combining machine learning approaches with information visualization and multiscale interaction techniques to help analysts explore and understand massive data. Jean-Daniel's research topics include network visualization, evaluation of information visualization systems, and toolkits for user interfaces and information visualization. His research is applied in several fields such as biology, business intelligence and social network analysis.

Jean-Daniel Fekete is also President of the French-Speaking HCI Association, serves on several international journal editorial boards and conference program committees. For more information, please visit Website: http://www.lri.fr/~fekete/ .

Session Chair: Thomas Ertl (University of Stuttgart)
Session Time: 10:20-12:00, Wednesday, March 3, 2010

Session Chair: Seok-Hee Hong (University of Sydney)
Session Time: 13:30-15:10, Wednesday, March 3, 2010

Session Chair: Issei Fujishiro (Keio University)
Session Time: 15:40-17:20, Wednesday, March 3, 2010

Session Chair: Maurizio Patrignani (University Roma Tre)
Session Time: 10:30-12:00, Thursday, March 4, 2010

Session Chair: Tong-Yee Lee (National Cheng Kung University)
Session Time: 13:30-15:10, Thursday, March 4, 2010

A Sketch-Based Interface for Classifying and Visualizing Vector Fields Jishang Wei University of California, Davis Chaoli Wang Michigan Technological University Hongfeng Yu Sandia National Laboratories Kwan-Liu Ma University of California, Davis

An Advection-Reaction Model for Flow Visualization Rüyam Acar

Physically-Based Interactive Schlieren Flow Visualization C. Brownlee, V. Pegoraro, S. Shankar, University of Utah P. McCormick Los Alamos National Labs C. Hansen University of Utah

Motion Track: Visualizing Variations of Human Motion Data Yueqi Hu Zhejiang University Shuangyuan Wu, Shihong Xia Chinese Academy of Sciences Jinghua Fu, Wei Chen Zhejiang University

Session Chair: Ivan Viola (University of Bergen)
Session Time: 8:50-10:00, Friday, March 5, 2010

Session Chair: Hsu-Chun Yen (National Taiwan University)
Session Time: 10:20-12:00, Friday, March 5, 2010

Session Chair: Takayuki Itoh (Ochanomizu University)
Session Time: 15:30–17:30, Thursday, March 4, 2010

Group 1 Volume Visualization

Direct Meshing with Topological Structures from Multi-material Volume Data Yasuharu Fujiyoshi, Megumi Nakao, Takuya Iwasaki, Kotaro Minato Nara Institute of Science and Technology

Interpolating 3D Diffusion Tensors through Optimizing Rotatoinal Transformations of Anisotropic Features Chongke Bi, Shigeo Takahashi, Haruhisa Ishida The University of Tokyo Issei Fujishiro Keio University

Integration of Semi-transparent Polygons for Sorting-free Volume Rendering Naohisa Sakamoto, Takuma Kawamura, Koji Koyamada Kyoto University

Group 2 Information Visualization / Visual Analytics (Techniques)

Visualizing Data Trend and Relation for Exploring Knowledge Ting-Yen Lee National Taiwan University Chad Jones University of California, Davis Bing-Yu Chen National Taiwan University Kwan-Liu Ma University of California, Davis

Exploring Dynamic Social Network through Interactive Visualization Hung-I Chuang, Kai-Hsin Liu, Tsai-Yen Li, Pailin Chen National Chengchi University

MIAOW: A 3D Image Browser Applying a Location- and Time-Based Hierarchical Data Visualization Technique Ai Gomi, Takayuki Itoh Ochanomizu University

Large-Scale Data Visualization with Two-Variate Level-of-Detail Control Azusa Nagasaki, Takayuki Itoh Ochanomizu University

Interactive Clustering Multidimensional Data with Shaded Parallel Coordinates Xiaoru Yuan, Peihong Guo Peking University

Group 3 Information Visualization / Visual Analytics (Applications/Systems)

Group 4 Computer Graphics / Interaction