| Career Summary |
1992. 3 Graduated, Department of Information Science, Faculty of Science, The University of Tokyo
1997.03: Ph.D. from the Graduate School of Science, The University of Tokyo
1997.04: Assistant Professor, Department of Computer Science, Gunma University
1999.07: Associate Professor, Computer Center, Gunma University
2001.04: Associate Professor, Department of General Systems Studies, Graduate School of Arts and Sciences, The University of Tokyo
2002.10-2003.09: Visiting Associate Professor, Department of Computer Science and Engineering, Arizona State University
2005.04: Associate Professor, Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo
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| Educational Activities |
Graduate School of Frontier Sciences, The University of Tokyo: Complexity Computation
Graduate School of Information Science and Technology, The University of Tokyo: Geometric Modeling
Faculty of Science, The University of Tokyo: Computational Algorithm Theory
Faculty of Engineering, Gunma University: Computer Graphics
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| Research Activities |
Image synthesis techniques for the human visual system (2002-present):
Understanding image processing in the human visual system provides a key insight into the sophisticated synthesis of comprehensible visualization images. This research aims at constructing models for human visual perception by referring to the findings in neuroscience and psychology, and applies them to the development of algorithms for improved visualization approaches. Examples include optimal viewpoint calculation for 3D objects (Ref. 2), generation of mosaic images based on multiscale processing in the human visual system, and deformation of perspective images (Ref. 5) and its application to animation (Ref. 1) for the development of sophisticated information visualization techniques.
Volume visualization for understanding complexities
(2001--present):
3D datasets obtained from scientific simulation and medical image acquisition using CT and MRI are usually represented as volumes (3D images). Visualization such 3D volume datasets to understand their underlying 3D structures is becoming increasingly important. In this research, we have developed a topological approach to extracting significant features from a given 3D volume dataset and emphasizing them in the final visualization stage (Ref. 4). We also implemented an interface for decomposing a 3D volume dataset into several feature components for easy understanding of its inner structures (Ref. 3).
Occlusion-Free animation of driving routes in car navigation
systems: original (upper) and newly generated image (lower)
Interface for decomposing the 3D volume data of a sheep heart
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Literature
1) S. Takahashi, K. Yoshida, K. Shimada, and T. Nishita: "Occlusion-Free Animation of Driving Routes for Car Navigation Systems," IEEE Transactions on Visualization and Computer Graphics, Vol. 12, No. 5, pp. 1141-1148, 2006.
2) S. Takahashi, I. Fujishiro, Y. Takeshima, and T. Nishita: "A Feature-Driven Approach to Locating Optimal Viewpoints for Volume Visualization," in Proc. of IEEE Visualization 2005, IEEE CS Press, pp. 495-502, October, 2005.
3) S. Takahashi, I. Fujishiro, and Y. Takeshima: "Interval Volume Decomposer: A Topological Approach to Volume Traversal," in Proc. of Visualization and Data Analysis 2005, SPIE Vol. 5669, pp. 103-114, January, 2005.
4) S. Takahashi, Y. Takeshima, and I. Fujishiro: "Topological Volume Skeletonization and Its Application to Transfer Function Design," Graphical Models, Vol. 66, No. 1, pp. 24-49, 2004.
5) S. Takahashi, N. Ohta, H.Nakamura, Y. Takeshima, and I. Fujishiro: "Modeling Surperspective Projection of Landscapes for
G!
eographical Guide-Map Generation," Computer Graphics Forum, Vol. 21, No. 3, pp. 259-268, 2002.
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| Other Activities |
Member: IEEE Computer Society, ACM (Association for Computing Machinery), Eurographics Association, IPSJ (Information Processing Society of Japan), IEICE (The Institute of Electronics, Information and Communication Engineers), The Visualization Society of Japan, and The Vision Society of Japan.
Editorial board: IEICE Journal A (2006-present)
Committee member of international conferences and symposiums: IEEE Visualization (Vis:2005-2007); Volume Graphics (VG:2003,2006,2007); IEEE PacificVis (PacificVis:2008); Shape Modeling International (SMI:2006-2008); Geometric Modeling and Processing (GMP:2006,2008); International Symposium on Smart Graphics (Smart Graphics:2007,2008).
Committee member of domestic societies: CG-ARTS (2001-present); IPSJ SIG of Graphics and CAD (2000-2003).
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| Future Plan |
The research problems addressed by our research group can be classified into two themes. The first theme is to construct mathematical models for analyzing and visualizing complexities in the given datasets, and the second theme is to improve such visualization methods by taking account of the image processing inherent in the human visual system. We believe that our research activity provides effective yet intuitive tools for visualizing large-scale and complex datasets, which will be vital in forthcoming era of information "big bang".
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| Messages to Students |
The Graduate School of Frontier Science is a newly established graduate school in the Kashiwa campus of the university of Tokyo. This means we have the freedom to continue developing our role in campus life, as well as in academic activities. While decisions and strategies regarding the role of the school carry great responsibility,we consider this freedom to be an important opportunity.
The same principle can be applied to our research activities on computer visualization. While the field of computer visualization has its own history, we are able to freely explore new problems, and develop our own ways to resolve research issues. The research environment of the Department of Complexity Science and Engineering fully supports our activities because we can consult various research groups in the department. We are also collaborating with research groups in the brain science module to investigate the underlying image processing in the human visual system. We would like to welcome students interested in joining to our department to enjoy the inventiveness in this newly-established environment and to share a feeling of satisfaction with others.
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