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Computer Graphics Laboratory


/ Karol Myszkowski / Associate Professor
/ Vladimir L. Volevich / Visiting Associate Professor
/ Roman Durikovic / Assistant Professor
/ Satoshi Nishimura / Assistant Professor

The laboratory is currently working on the following topics:


Refereed Journal Papers

  1. K. Myszkowski and T.L. Kunii., A case study towards validation of global illumination algorithms: progressive hierachical radiosity with clustering. The Visual Computer, vol.16, no.5, pp.271--288, 2000.

    In this paper, we present an efficient global illumination technique, and then we discuss the results of its extensive experimental validation. The technique is a hybrid of cluster-based hierarchical and progressive radiosity techniques, which does not require storing links between interacting surfaces and clusters. We tested our technique applying a multi-stage validation procedure which we designed specifically for global illumination solutions. At first, experimental validation of the algorithm against analytically-derived and measured real-world data is performed to check how calculation speed is traded for lighting simulation accuracy for various clustering and meshing scenarios. Then the algorithm performance and rendering quality is tested by a direct comparison of the virtual and real-world images of a complex environment.

  2. V. Volevich, K. Myszkowski, A. Khodulev and E.A. Kopylov., Using the Visual Differences Predictor to Improve Performance of Progressive Global Illumination Computations. ACM Transactions on Graphics, vol.19, no.2, 2000.

    A novel view-independent technique for progressive global illumination computations has been developed that uses prediction of visible differences to improve both efficiency and effectiveness of physically-sound lighting solutions. The technique is a mixture of stochastic (density estimation) and deterministic (adaptive mesh refinement) algorithms that are used in a sequence optimized to reduce the differences between the intermediate and final images as perceived by the human observer in the course of lighting computations. The quantitative measurements of visibility were obtained using the model of human vision captured in the Visible Differences Predictor (VDP) developed by Daly \cite{Daly93}. The VDP responses were used to support selection of the best component algorithms from a pool of global illumination solutions, and to enhance the selected algorithms for even better progressive refinement of the image quality. Also, the VDP was used to determine the optimal sequential order of component-algorithm execution, and to choose the points at which switch-over between algorithms should take place. As the VDP is computationally expensive, it was applied exclusively at the stage of design and tuning of the composite technique, and so perceptual considerations are embedded into the resulting solution, though no VDP calculations are performed during the lighting simulation.

  3. Masayuki Yamamoto and Satoshi Nishimura., Evaluation of Instruction-Level Parallelism in Rendering. Journal of 3D Images, vol.14, no.1, pp.133--138, 2000.

    In designing a processor, it is important to know how the number, the type and the latency of functional units (FUs) affect its performance. In this paper, we propose a method for estimating the best-case performance when a set of FUs and a computation graph are given. Using such method, we can investigate the influence on performance against different sets of FUs. We did two experiments on geometry calculation of polygon rendering; one is to see the influences due to the number and the type of FUs, and the other is to see the influences due to the latency of FUs.

  4. Hiroyuki Kitagawa and Satoshi Nishimura., The implementation of an FPGA-based Accelerator for Ray Tracing. Journal of 3D Images, vol.13, no.3, pp.1--6, 1999.

    The implementation of a hardware accelerator for ray tracing is presented in this paper. Ray tracing is an image synthesizing technique for 3D scenes, and ray-traced images are realistic comparing to images rendered with other algorithms. Our accelerator employs a space subdivision method with hierarchical grids for an efficient implementation of the ray-tracing algorithm. The accelerator is based on a very high-level pipelined architecture in order to perform high-speed processing. We use Field Programmable Gate Arrays (FPGAs) for the implementation because of its flexibility. This paper particularly focuses on how to partition the hardware into multiple FPGA chips under the constraints on I/O pins and configurable logic blocks.

  5. Karol Myszkowski and Takehiro Tawara., Visualization of complex lighting patterns in interactive applications. The Fifth International Conference Advance Computer Systems, pp.92--98, November 1988.

  6. Myszkowski, K. and Rokita, P. and Tawara, T., Perceptually-informed accelerated rendering of high quality walkthrough sequences. Rendering Techniques 99; Proceedings of the Tenth Eurographics Workshop on Rendering, pp.13--27, June 1999.

Refereed Proceeding Papers

  1. Myszkowski, K., Realistic lighting in real-time applications. 12th Engineering Mechanics Conference, pp.223--236, American Society of Civil Engineers, May, 1998.

  2. Myszkowski, K. and Rokita, P. and Tawara, T., Perceptually-informed accelerated rendering of high quality walkthrough sequences. Rendering Techniques 99;Proceedings of the Tenth Eurographics Workshop on Rendering, pp.13--27, Eurographics, Springer Wien, June 1999.

  3. Myszkowski, K., The Visible Differences Predictor: Applications to Global Illumination Problems. Rendering Techniques '98 (Proceedings of the Ninth Eurographics Workshop on Rendering), pp.223--236, Eurographics, Springer Wien, June 1998.

  4. Vladimir Volevich, Karol Myszkowski, Andrei Khodulev, Edward Kopylov and Jerzy Sas., Progressive global illumination solution considering perceptual factors. Conference Abstracts & Applications, pp.262, ACM Siggraph, Wiley and Sons, July 1998.

  5. Martens, W.L. and Myszkowski, K., Psychophysical Validation of the Visible Differences Predictor for Global Illumination Applications. IEEE Visualization 98; Late Breaking Hot Topics, pp.49-52, IEEE Computer Society, IEEE Press, October 1998.

  6. Karol Myszkowski and Takehiro Tawara., Visualization of complex lighting patterns in interactive applications. The Fifth International Conference Advance Computer Systems, pp.92--98, November, 1988.

  7. Satoshi Nishimura., PIECE: A Music Language Editor Synchronized with Graphical Views. Proceedings of the International Computer Music Conference, pp.171--174, 1998.

    This paper describes a music editing system called the PMML Integrated Emacs-based Composing Environment (PIECE). The system provides both a textual-language view and piano-roll view synchronized with each other. The consistency between the views is maintained even if control structures or macros are used in the language texts. A novel algorithm for maintaining the consistency is presented.

  8. R. Durikovic and T. Motooka., Modeling material behavior: Molecular dynamics simulation and visualization. Proceedings of the Shape Modeling International, Aizu-Wakamatsu, Fukushima, Japan, pp.186--191, March 1999.

  9. R. Durikovic and T.Motooka., Molecular dynamics simulation and visualization. Proceedings of the Information Visualization - IV'99, London, UK. pp.334--339, Jul. 1999.

  10. R. Durikovic., Visualization of large-scale atomic interactions during the melting and crystallization process. Proceedings of the International Workshop on Computational Electronics - IWCE7, Glasgow, UK., pp.92--93, May 2000.

  11. R. Durikovic and D. Wei., Modelling the heart and visualization of simulated wavefronts., Proceedings of the 16th Spring Conference on Computer Graphics - SCCG2000, Budmerice, Slovakia, to appear, May 2000.

Books

  1. Karol Myszkowski., Virtual Revisiting Architectural Masterpieces and the Problem of Lighting Simulation. Cyberworlds (Eds. T.L. Kunii and A. Luciani), Springer-Verlag, 1998.

Technical Reports

  1. Satoshi Nishimura., RayFlow: A Pipelined Architecture for Real-Time Ray Tracing. University of Aizu, no.99-1-017, 1999.

Others

  1. Yousuke Miyanaga., Using Visible Difference Predictor to evaluate image-based rendering quality. Univ. of Aizu, 1999. Thesis Advisor: Karol Myszkowski.

  2. Maiko Ishikawa., Valididation of Visible Difference Predictor by Psychophysical Experiment. Univ. of Aizu, 1999, Thesis Advisor: Karol Myszkowski.

  3. Hiroyuki Akamine., Image Blending Strategies in Image-Based Rendering. Univ. of Aizu, 1999, Thesis Advisor: Karol Myszkowski.

  4. Takashi Mikuriya., Multi-purpose Manipulators for Objects in Virtual Reality Environments Using an Isometric 3D Input Device. Univ. of Aizu, 1999, Thesis Advisor: Karol Myszkowski.

  5. Makoto Yamaoka. A multi-purpose Manipulator for Objects in Virtual Reality Environments using a Dataglove. Univ. of Aizu, 1999, Thesis Advisor: Karol Myszkowski.

  6. Hidetoshi Mori., The synthesis of sounds using instruments. Univ. of Aizu, 1999, Thesis Advisor: Satoshi Nishimura.

  7. Mutsumi Takahashi., PMML-to-CMN Translator -- music score publishing using PMML --, Univ. of Aizu, 1999, Thesis Advisor: Satoshi Nishimura.

Academic Activities

  1. Satoshi Nishimura., Session chair of the 59th National Convention of the Information Processing Society of Japan. Information Processing Society of Japan. September, 1999.

  2. Satoshi Nishimura., Reviewer of the IEEE Transactions on Visualization and Computer Graphics. IEEE, 2000.

  3. Satoshi Nishimura., Reviewer of the IEEE Transactions on Parallel and Distributed Systems. IEEE, 2000.



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July 2000