Fujishiro, Issei

写真a

Affiliation

Faculty of Science and Technology, Department of Information and Computer Science 26-208C (Yagami)

Position

Professor

Related Websites

External Links

Profile 【 Display / hide

  • Issei Fujishiro was born in Tokyo in 1960. He received his B.E. and M.E. in information sciences and electronics in 1983 and 1985 both from University of Tsukuba, and his Doctor of Science in information sciences from the University of Tokyo in 1988. Fujishiro started his career as an assistant professor at the University of Tokyo in 1985, and then worked as a faculty member for University of Tsukuba, Ochanomizu University, and Tohoku University, before joining Keio University in 2009, where he is currently a Professor at Department of Information and Computer Science, Faculty of Science and Technology in Yokohama. He was elected as an honorary alumnus from Keio University in 2015. He stayed as a Visiting Professor of Computer Science at the State University of New York, Stony Brook, NY, USA from 1994 to 1995. Since 2020, he has been holding an adjunct position at School of Computer Science and Technology, Hangzhou Dianzi University, China. His research interests include shape representation and modeling paradigm, applied visualization design and provenance management, and smart multi-modal ambient media, and authored 322 academic papers and 90 survey articles and authored/edited 41 books/Proceedings related to these research topics. He received 49 international/domestic awards, including the 16th CG Japan Award in 2017 from the Society for Art and Science (SAS) and the Most Cited Paper Award for the Journal Graphical Models 2004-2006 from Elsevier Science. He served as the President of Institute of Image Electronics Engineers of Japan (IIEEJ) and a Vice President for SAS. He has served on the editorial boards for academic journals, including IEEE Transactions on Visualization and Computer Graphics (1999-2003, 2018 to present), Computers & Graphics (2003-2013), and Visual Informatics (2016 to present). He guest-edited 12 special issues of academic journals, including IEEE Computer Graphics and Applications (Vol. 28, No. 5, 2008 and Vol. 35, No. 6, 2015). He has been served on the steering committee for IEEE SciVis (2015-2020) and IEEE PacificVis (2008-to present). He served as a Program Chair for Volume Graphics 2003/2005, IEEE PacificVis 2008, and ACM VRCAI 2014, and a Paper Chair for IEEE VIS 2018/2019 (SciVis); chaired 29 international conferences, including IEEE SMI 2006, Cyberworlds 2013, IEEE PacificVis 2014, ACM VRCAI 2015, TopoInVis 2017, CG International 2017, and PacificVAST 2018; and served on program committees for 179 international conferences. Fujishiro is currently a member of Science Council of Japan, a fellow of the Japan Federation of Engineering Societies, the President of Visualization Society of Japan, a Board Director for International Information Science Foundation, and a Trustee for CG-ARTS. He is an honorary member of IIEEJ, a fellow of IPSJ (CGVI), a senior member of IEEE (Computer Society/VGTC) and ACM (SIGGRAPH), and a member of Eurographics, Computer Graphics Society, IEICE, VRSJ, and ITE.

Message from the Faculty Member 【 Display / hide

  • For every subject in charge, I intend to make special emphasis on comprehensible introduction to paradigms and potentials inherent to computer science.

Profile Summary 【 Display / hide

  • Interval volume visualization

    A Visualization support system VIDELICET

    Topologically-enhanced volume rendering

    Volume modeling of color pencil drawings

    Visual computing, especially: 1) volume visualization/graphics and applications; 2) visualization lifecycle management and user support; and 3) realizatoin of smart ambient media through multi-sensory information display.

Other Affiliation 【 Display / hide

  • Hangzhou Dianzi University, School of Computer Science and Technology, adjunct professor

Career 【 Display / hide

  • 1985.04
    -
    1988.03

    The University of Tokyo, Faculty of Science, Research Associate

  • 1988.04
    -
    1989.02

    University of Tsukuba, Institute of Information Sciences and Electronics, research associate

  • 1989.02
    -
    1991.03

    University of Tsukuba, Institute of Information Sciences and Electronics, Assistant Professor

  • 1991.04
    -
    1998.07

    Ochanomizu University, Faculty of Science, Associate Professor

  • 1994.02
    -
    1995.01

    State University of New York at Stony Brook, Department of Computer Science, Visiting Professor

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Academic Background 【 Display / hide

  • 1979.04
    -
    1983.03

    University of Tsukuba, Third Cluster of College, College of Information

    University, Graduated

  • 1983.04
    -
    1985.03

    University of Tsukuba, Graduate School, Division of Engineering, Infomation Sciences and Electronics

    Graduate School, Completed, Master's course

Academic Degrees 【 Display / hide

  • Doctor of Science, The University of Tokyo, Dissertation, 1988.10

  • Master of Engineering, University of Tsukuba, Coursework, 1985.03

  • Bachelor in Engineering, University of Tsukuba, Coursework, 1983.03

    An Adaptive CAI System Based on Rule Acquision Descriptions

 

Research Areas 【 Display / hide

  • Informatics / High performance computing

  • Informatics / Database (Media Informatics/Data Base)

  • Informatics / Human interface and interaction

Research Keywords 【 Display / hide

  • computer visualization

  • computer graphics

  • virtual reality

  • smart ambient media

  • perceptive psychology

Research Themes 【 Display / hide

  • Computational forensics data visualization environments, 

    2013
    -
    Present

  • Visual analytics for sparse modeling, 

    2013
    -
    Present

  • Naked-eye stereoscopic displays, 

    2012
    -
    Present

  • Smart ambient visualization, 

    2012
    -
    Present

  • Particle-based fluid simulation, 

    2009
    -
    Present

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Books 【 Display / hide

  • Topological Methods in Data Analysis and Visualization V: Theory, Algorithms, and Applications

    Hamish Carr, Issei Fujishiro, Filip Sadlo, Shigeo Takahashi (eds.), Springer International Publishing, 2020.12,  Page: 270

     View Summary

    This collection of peer-reviewed workshop papers provides comprehensive coverage of cutting-edge research into topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative analysis of simplification techniques, and key applications in materials and medical science. The book also addresses core research challenges such as the representation of large and complex datasets, and integrating numerical methods with robust combinatorial algorithms.

    In keeping with the focus of the TopoInVis 2017 Workshop, the contributions reflect the latest advances in finding experimental solutions to open problems in the sector. They provide an essential snapshot of state-of-the-art research, helping researchers to keep abreast of the latest developments and providing a basis for future work. Gathering papers by some of the world’s leading experts on topological techniques, the book represents a valuable contribution to a field of growing importance, with applications in disciplines ranging from engineering to medicine.

    PDF1

  • Computer Graphics, Revised Edition

    FUJISHIRO Issei and the other 20 co-authors, Computer Graphic Arts Society, Tokyo, Japan, 2015.03

    Scope: Editor in Chief, Visualization (chapter 7-3)

     View Summary

    A revised edition of a standard Japanese textbook on computer graphics technology.

  • ビジュアル情報処理―CG・画像処理入門― [改訂新版]

    FUJISHIRO Issei, OKUTOMI Masatoshi, 東京・画像情報教育振興協会, 2017.03

    Scope: CG系編集委員長,3-8(ボリュームレンダリング),9-1(CGと画像処理の融合)

     View Summary

    CGおよび画像処理の本格的入門書.旧版を13年ぶりに全面改訂.CG/画像処理エンジニア検定ベーシックに準拠.

  • 電子情報通信学会100年史

    藤代 一成, 電子情報通信学会, 2017.09

    Scope: コンピュータグラフィックス

     View Summary

    第2 部「電子情報通信技術100 年の発展」,D 情報・システム,5 章映像メディアの2 節として,コンピュータグラフィックス技術の誕生から現在に至るまでの研究開発の流れを俯瞰した.

  • コンピュータビジュアリゼーションーインターネット時代の数学 4

    中嶋 正之,藤代 一成, 共立出版, 2000.11,  Page: 207

    Scope: 共編著

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Papers 【 Display / hide

  • 3D distance field-based apparel modeling

    Masanori Nakayama, Takami Yamamoto, Issei Fujishiro

    IIEEJ Transactions on Image Electronics and Visual Computing (IIEEJ)  10 ( 1 ) 55 - 65 2022.06

    Research paper (scientific journal), Joint Work, Last author, Accepted

     View Summary

    This study aims to design an apparel item by converting a polygon model of the human body obtained through a 3D scan into a volume model. From the model, we can quickly generate a curved surface that retains a constant distance from the surface of the body, thus being able to design an apparel item that ensures accurate allowance by defining the distance field for the surface of the body. The curved surface, which would be an ideal garment that can envelop the body, can be generated by tweaking the threshold value for an isosurface from the surface of the body. Furthermore, by drawing design lines on the curved surface, the pattern required for actual sewing can be designed in 3D space. The curved surface trimmed by the design lines is converted into a polygon mesh. A dynamics simulation is applied to smooth the curvatures so that the desired flat surface pattern can be obtained. As a result of actually sewing the virtually designed pattern and trying it on, it was shown that we can generate clothes with the appropriate allowance and proportions.

  • FORSETI: A visual analysis environment enabling provenance awareness for the accountability of eautopsy reports

    Baoqing Wang, Noboru Adachi, Issei Fujishiro

    Journal of Visual Informatics (Elsevier Science)   2022.06

    Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted

     View Summary

    Autopsy reports play a pivotal role in forensic science. Medical examiners (MEs) and diagnostic radiologists (DRs) cross-reference autopsy results in the form of autopsy reports, while judicial personnel derive legal documents from final autopsy reports. In our prior study, we presented a visual analysis system called the forensic autopsy system for e-court instruments (FORSETI) with an extended legal medicine markup language (x-LMML) that enables MEs and DRs to author and review e-autopsy reports. In this paper, we present our extended work to incorporate provenance infrastructure with authority management into FORSETI for forensic data accountability, which contains two features. The first is a novel provenance management mechanism that combines the forensic autopsy workflow management system (FAWfMS) and a version control system called lmmlgit for x-LMML files. This management mechanism allows much provenance data on e-autopsy reports and their documented autopsy processes to be individually parsed. The second is provenance-supported immersive analytics, which is intended to ensure that the DRs’ and MEs’ autopsy provenances can be viewed, listed, and analyzed so that a principal ME can author their own report through accountable autopsy referencing in an augmented reality setting. A fictitious case with a synthetic wounded body is used to demonstrate the effectiveness of the provenance-aware FORSETI system in terms of data accountability through the experience of experts in legal medicine.

  • Illumination-aware group portrait compositor

    Masaru Ohkawara,Issei Fujishiro

    The Visual Computer (Springer-Verlag)   2022.05

    Research paper (scientific journal), Joint Work, Last author, Accepted

     View Summary

    We present a novel compositing framework for full-length human figures that maintains their surface details and appends the localized nature of light and shadow, thereby synthesizing composite results with high visual coherence. The framework is extended from the compositing pipeline proposed in our previous study so that it deploys five stages for photometric information estimation, as well as for 3D reconstruction, global illumination simulation, lighting transfer, and compositing. Based on the interpretation that a sense of coexistence can be achieved through visual coherence, we demonstrate that the proposed framework functions properly as a group portrait compositor. The composite results that the proposed framework composed the images separately rendered 3D human models compared favorably with the results which rendered multiple avatars together. Based on this empirical evaluation, the proposed framework is expected as a new means of fostering a sense of coexistence in remote societies and of efficiently generating highly photorealistic cyberworlds.

  • LineM: Assessing metamorphopsia symptom using line manipulation task

    Zhenyang Zhu, Masahiro Toyoura, Issei Fujishiro, Kentaro Go, Kenji Kashiwagi, Xiaoyang Mao

    The Visual Computer (Springer-Verlag)  38 ( 5 ) 1607 - 1617 2022.05

    Research paper (scientific journal), Joint Work, Accepted

     View Summary

    Metamorphopsia patients experience distortions in their views. The number of metamorphopsia patients is arising with the increase in the elderly population. For early detection of metamorphopsia, examination approaches have been proposed. However, none of the existing methods can be employed to precisely assess the perceptions of patients. We propose LineM as a novel method to precisely measure the distorted views of metamorphopsia patients based on interactive line manipulation task involving the patients. To explore the potential of LineM, a case study which uses the measured results from LineM to visualize the distorted views of metamorphopsia patients is presented. Furthermore, a novel technique for compensating the distorted views of individual metamorphopsia patients using the results from LineM is also presented. Considering that elderly individuals account for the majority of metamorphopsia patients, an intuitive and user-friendly prototype system has been implemented. The effectiveness and usability of LineM and the compensation method were demonstrated via a qualitative and subjective experiment that involved metamorphopsia patients and elderly participants.

  • Controllable automatic generation of non-player crowd in 3D anime style

    Ruizhe Li, Ryo Oji, Issei Fujishiro

    Computer Animation & Virtual Worlds (Wiley)     e2047:1 - e2047:16 2022.04

    Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted

     View Summary

    Game creators always use prefabricated models as non-player characters (NPCs) to create an atmosphere for game scenes. However, players are likely to see different NPCs with the same 3D models because creators usually cannot prepare a high number of NPC models for big game scenes. In this article, we present an anime-like character customization system, where each customizing parameter can adjust the shape or color for the corresponding part of the character model. Based on this system, we propose an improved approach for generating a rich variety of 3D anime-like NPCs including body models and clothing items in different styles. We introduce a neural network to control the facial appearances, Gaussian mixture models to control the colors of hair and clothes, and a Bayesian network to control the outfits of clothing items. We demostrate that the proposed approach can maintain the variety and stability of the generated characters.

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Papers, etc., Registered in KOARA 【 Display / hide

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Reviews, Commentaries, etc. 【 Display / hide

  • 経路誘導による多光源照明計算の効率化

    杉田 俊平,藤代 一成

    情報処理学会研究報告 (情報処理学会 )  2022–CG–186 ( 5 ) 1 - 6 2022.06

    Research paper, summary (national, other academic conference), Joint Work, Last author,  ISSN  2188-8949

     View Summary

    映画・建築・デザイン分野では, 大域照明を考慮した, きわめて写実性の高いレンダリング技術が利用されている. その計算過程においてモンテカルロ推定を利用する場合, 出力画像には最終的な収束値から大きく外れた点を多数含んでしまう. そのため, 低サンプル数でかつ低分散な出力画像が得られる最適化手法が検討されている. 経路誘導は強度分布を事前推定し, 効率的な経路を構築することで分散低減を実現する. しかし多光源シーンでは各光源からの寄与を得ることが困難であるため, 強度分布の収束が遅く分散低減効果が低いという課題がある. そこで本研究では, 光源サンプリングを改善することで多光源照明計算における経路誘導の計算効率を高める最適化手法について検討を行う.

  • Metaverse and the Third Skin

    Issei Fujishiro

    Journal of IIEEJ (IIEEJ)  51 ( 2 ) 123 - 123 2022.04

    Article, review, commentary, editorial, etc. (scientific journal), Single Work, Lead author, Corresponding author,  ISSN  0285-9831

     View Summary

    A scientific essay contributed as one of the past presidents to the 50th anniversary issue of the Journal of the Institute of Image Electronics Engineers of Japan.

  • プライマリレイ走査高速化のためのアフィン変換レイアライメント

    西舘 祐樹,藤代 一成

    情報処理学会研究報告 (情報処理学会 )  2022–CG–185 ( 2 ) 1 - 6 2022.03

    Research paper, summary (national, other academic conference), Joint Work, Last author,  ISSN  2188-8949

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    近年,リアルタイムレンダリングでもレイトレーシングが使われ始めているが,依然としてレイトレーシングの時間計算量は大きく,リアルタイムに出射できるレイの本数は限られている.本研究では,アフィン変換を用いて複数本のレイを1 本にまとめることで,レイトレーシングの時間計算量を削減する新たな手法として,アフィン変換レイアライメントを提案する.提案手法をプライマリレイ走査に適用する実験の結果,レンダリング画像に誤差を発生させることなく,かつ空間計算量をほとんど増加させずに,時間計算量を削減できることが確認できた.

  • スケーラブルな可視化を目指して―可視化研究開発の自分史を振り返って―(招待講演)

    藤代 一成

    情報処理学会研究速報 (情報処理学会)  2022-CG-185 ( 7 ) 1 - 1 2022.03

    Research paper, summary (national, other academic conference), Single Work, Lead author, Corresponding author,  ISSN  2188-8949

     View Summary

    急速な計測・シミュレーション技術の進歩や加速する分散データ資源の蓄積に伴って,コンピュータ可視化には常に対象データや分析タスクの複雑さに対するスケーラビリティが求められてきた.本講演では,30 年間に及ぶ自身の関連研究開発のなかから,視覚マッピング拡張,可視化オントロジ,応用微分位相幾何,出自管理等の代表的トピックを採り上げ,それらのスケーラブルな可視化への寄与を振り返る.

  • ボロノイ分割モデルを用いたオパールの遊色効果のビジュアルシミュレーション

    横田 壮真,杉田 俊平,藤代 一成

    情報処理学会研究報告 (情報処理学会 )  2022–CG–185 ( 3 ) 1 - 6 2022.03

    Research paper, summary (national, other academic conference), Joint Work, Last author,  ISSN  2188-8949

     View Summary

    オパールは,遊色効果とよばれる光学特性を有する準鉱物であり,その内部に美しく複雑な虹色の模様を発現させることから,古くから宝石として利用されてきた.遊色効果の写実的なビジュアルシミュレーションは,宝石の質感設計の観点から有用である.本研究では,オパールの内部構造を三次元ボロノイ分割を用いてモデリングする手法を提案する.これにより,結晶学に基づく模様の発現を試みる.また,ボロノイ図を距離関数を用いて表現することにより,空間計算量の削減とモデルの解像度向上を試みる.

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Presentations 【 Display / hide

  • 3Dボディデータを基にした適応的なゆとり量の身頃原型開発

    山本 高美,中山 雅紀,藤代 一成

    日本家政学会第74回大会  (オンライン) , 

    2022.05

    Oral presentation (general), 日本家政学会

  • コンピュータグラフィックス・ビジュアライゼーションー先進事例と最新動向ー

    藤代一成

    アーク情報システム講演会 (オンライン) , 

    2022.02

    Oral presentation (invited, special), アーク情報システム

     View Summary

    研究室で2021年度に発表したCG/可視化技術の事例6例をまとめて紹介した.

  • 可視化の新パラダイム策定

    藤代 一成

    日本学術会議公開シンポジウム「科学的知見の創出に資する可視化 (7):人間を織り活かす総合知をもたらす「視考」 (オンライン) , 

    2021.12

    Oral presentation (invited, special), 日本学術会議

     View Summary

    第7回の日本学術会議可視化公開シンポジウム.可視化の新パラダイム策定小委員会委員長として,招待講演を行った.講演ビデオ:https://www.arc.ritsumei.ac.jp/j/news/pc/012773.html

  • 総合討論:人間を織り活かす総合知をもたらす可視化を目指して

    竹島 由里子,清水 美穂(モデレータ),藤代 一成,田中 覚,伊藤 貴之,跡見 順子,塩満 典子, 小山田 耕二,萩原 一郎

    日本学術会議公開シンポジウム「科学的知見の創出に資する可視化 (7):人間を織り活かす総合知をもたらす「視考」 (オンライン) , 

    2021.12

     View Summary

    総合知を獲得するうえで可視化が果たす役割に関して,登壇発表者を中心にパネル討論を行った.講演ビデオ:https://www.arc.ritsumei.ac.jp/j/news/pc/012773.html

  • Making Effective Queries on Time-Varying Multi-Dimensional Datasets

    Issei Fujishiro

    CSIG-VIS International Lecture Series 5 (Online) , 

    2021.11

    Oral presentation (invited, special), China Society of Image and Graphics, Technical Committee on Visualization and Visual Analysis

     View Summary

    Many problems are observed in the form of time-varying multi-dimensional datasets. In this lecture, we will discuss how large datasets of this kind are visually explored, with a particular focus on two kinds of dynamic visual querying, namely, query by example and query by sketch. These querying approaches serve as more efficient ways of identifying observable and recurring time variation patterns in long-term datasets. Dynamic visual querying is amplified with an auxiliary mechanism called “fact-guided querying,” which is intended to iteratively refine queries and results by specifying a query on the basis of the findings of a previous query. The efficacy of these concepts will be illustrated with actual analysis examples executed in a visual analytics environment called TimeTubeX for blazar observation research.

    PDF1

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Research Projects of Competitive Funds, etc. 【 Display / hide

  • Consolidation of Visualization Platform toward Facilitating Sparse Modeling

    2013.07
    -
    2018.03

    MEXT, Grant-in-Aid for Scientific Research, FUJISHIRO Issei, Research grant, Principal investigator

     View Summary

    The goal of this planned research project is to build a visualization platform for understanding the behavior of given high-dimensional data in physical space by projecting it onto a designated information space. For this purpose, we transform relatively low-dimensional data obtained through sparse modeling to 2, 3, or 4-dimensional space where we can fully visualize the characteristics of the original high-dimensional data. The idea behind our project is to establish an interactive model called human-in-the-loop by incorporating visual feedback from the users in the analysis of high-dimensional data based on sparse modeling.

     View Remarks

    Planned research C01-4 for Scientific Research on Innovative Areas "Initiative for High-Dimensional Data-Driven Science through Deepening of Sparse Modeling"

  • Supports and Public Relations for Initiative for High-Dimensional Data-Driven Science through Deepening of Sparse Modeling

    2013.07
    -
    2018.03

    MEXT, Grant-in-Aid for Scientific Research, OKADA Masato, Research grant, Coinvestigator(s)

     View Summary

    A never-ending series of improvements to measurement techniques has led to the ongoing creation of large quantities of high-dimensional observation data every day. While detailed data-centric science is promoted in fields such as bioinformatics, situations have been encountered where high-dimensional data analysis methods used in the field of astronomy also work effectively at completely different scales of magnitude in the life sciences. In this way, the introduction of diverse viewpoints becomes a driving force for the creation of innovative developments in various different situations. In this planned research project, we are focusing on sparse modeling as a methodology for causing innovative developments through the incorporation of a wide variety of viewpoints. As shown in the lower part of the figure to the right, by collaborating organically with information science researchers and researchers performing experiments and measurements in a wide range of secondary science fields such as life science and geoscience, we will create a new academic field of high-dimensional data-drive science where latent regularities are unearthed from high-dimensional data.

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    Management team for Grant-in-Aid for Scientific Research on Innovative Areas "Initiative fo High-Dimensional Data-Driven Science through Deepening of Sparse Modeling"

  • Enhancement of Integrated Visual Analytics Environment for Computational Forensics

    2017.04
    -
    2021.03

    JSPS, Grant-in-Aid for Scientific Research, FUJISHIRO Issei, Research grant, Principal investigator

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    本研究はH26~28基盤研究(A)26240015の後続研究である.本研究課題では,先行研究で開発したLMMLで記述される案件を捜査や裁判にまで拡充し,その特徴を高次元ベクトル空間で規定することにより,法科学文書とその出自に一定の意味を付与する.これにより,判例照合(類似検索)や争点誘導(部分空間交差判定),量刑評価(クラスタリング)等の複雑なタスクが自動化され,裁判の効率化・高品質化だけでなく,量刑の妥当性向上という計算法科学特有の社会的役割を具現化する.

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    Grant-in-Aid for Scientific Research (A)

  • Development of an Integrated Environment for Forensic data visual analytics

    2014.04
    -
    2017.03

    JSPS, Grant-in-Aid for Scientific Research, FUJISHIRO Issei, Research grant, Principal investigator

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    In this study, we developed an integrated environment for forensic data visual analytics. First of all, we defined the forensics ontology to standardize autopsy tasks. Then, we built on the ontology to design a legal medicine mark-up language, called LMML, and implemented designated authoring tool and browser. Users are allowed to generate an individual injured body model in 3D and performed internal and external blood flow simulation and visualization. The developed environment enabled visual analytics to clarify complex mutual relationships among evidences obtained through autopsy and on-the-spot investigation.

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    Grant-in-Aid for Scientific Research (A)

  • Computational Ophthalmology: Adaptive enhancement of impaired vision using augmented reality

    2017.04
    -
    2022.03

    JSPS, Grant-in-Aid for Scientific Research, MAO Xiaoyang, Research grant, Coinvestigator(s)

     View Summary

    本研究では,最新の拡張現実技術を駆使し,視覚障害者の社会生活の質を劇的に改善するアプローチとして「コンピュテーショナル・オプサルモロジー(計算眼科学)」と称する技術を開発する.実際に,代表的な眼科疾患である色覚異常,視野異常,両眼複視の3例をケーススタディに選び,それぞれに対し,各種のセンシングデバイスを組み合わせて実環境シーンの客観的構成や患者個人の主観的意図を捉え,疾患特有の色覚・視界特性を補整するような視覚的刺激を光学的シースルー/ビデオシースルー型ヘッドマウントディスプレイを介して呈示する方式を開発する.そして,従来の光学的器具や単純な画像変換の利用では困難であった適応的視力増強の効果が,提案技術によって達成できることを臨床的に検証する.

     View Remarks

    Grant-in-Aid for Scientific Research (A)

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Works 【 Display / hide

  • Duality

    NAKAYAMA Masanori, FUJISHIRO Issei

    Asian Digital Modeling Content 2017, The University of Tokyo, Komaba Campus, 

    2017.08

    Other, Joint

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    In the present work, we attempted at expressing human “two-facedness” by the “two-sidedness” of the 3D structures. In the field of geometry, there exists a two-facedness called “duality,” which represents the relationship between diagrams that switch between faces (cells) and vertices. Delaunay diagram and Voronoi diagram give a typical example. We have developed an algorithm to generate a Poisson-disk distribution in an arbitrary shape to make sculptures with those diagrams. The Delaunay diagram generated by Poisson-disk distribution point cloud makes up the uniform tetrahedral mesh (except for the surface). Since those cells are close to a regular tetrahedron, Voronoi vertices located on the circumcenters also have an almost uniform distribution. This piece recieved Grad Prize from ADMC2017.

  • 華の早慶戦!私学の雄がCG エンジニア検定エキスパートの舞台で激戦!~CG エンジニア教育最前線!両校40人の熱き戦い~

    CG-ARTS EDUCATION REPORT, 

    2017.05
    -
    Present

    Other, Joint

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    2016年11月29日(日).私学の雄,早稲田大学と慶應義塾大学が神宮球場でも,秩父宮ラグビー場でもなく2016年後期CG-ARTS検定の場で熱き戦いを繰り広げた.これまでも,毎年各校で受験していたが,奇しくも,今回は早慶理工学部3年生それぞれ40人の学生が「CGエンジニア検定エキスパート」を受験した.本レポートは,「CG-ARTS検定 華の早慶戦」と題し,担当教員の早稲田大学森島教授,慶應義塾大学藤代教授にその結果を見ながら,戦いの総括をしていただいた.

  • 5.3 主専攻指導教員から送る言葉

    藤代一成

    SUPER DOCTOR を目指した9 人の学生たち| リーディングプログラム5 年の軌跡 第3部(pp. 227-228),慶應義塾大学出版会, 

    2017.03
    -
    Present

    Other

  • 情報科学の名探偵! 魔法の数式 スパースモデリング

    岡田 真人

    NHK Eテレ サイエンスZERO No. 514, 

    2015.08

    Other, Joint

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    今話題の情報処理技術・スパースモデリング.スパースとは「すかすか」,「少ない」を意味し,少ない情報から全体像を的確にあぶり出すという,まるで名探偵のような数式だ.MRIの撮影時間を3分の1に短縮し,過去の津波到達範囲の判別につながる方法を開発.さらにはブラックホールの正体にも迫ろうとしている.複雑な事がらをスパース(すかすか)にすることで本質を浮かび上がらせるという魔法の数式に迫る(番組紹介).関連する科研費新学術領域計画研究の一つとして可視化班の研究テーマが紹介された.

  • 慶應義塾大学の藤代一成教授に聞く 法科学や医療にもCGが活用される時代について

    五十嵐 悠紀

    エンジニアtype, 

    2015.05
    -
    Present

    Other, Single

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    計算法科学データ可視化分析統合環境を開発する科研費基盤研究(A)の目的と計算法科学の社会的インパクトについてわかりやすく紹介した.

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Awards 【 Display / hide

  • Honorary Alumnus

    FUJISHIRO Issei, 2015.01, Keio University

    Type of Award: Keio commendation etc.

  • IEEE Visualization Academy Inductee

    Issei Fujishiro, 2020.10, IEEE VGTC

    Type of Award: International academic award (Japan or overseas)

     View Description

    IEEE Visualization Academy is known as a prestigious academy, the “visualization technology hall of fame” or the “visualization fellows assembly, and will highlight the accomplishments of the research leaders of the field of visualization. Prof. Fujishiro is the first Japanese inductee.

  • Fellow of JFES

    FUJISHIRO, Issei, 2019.06, The Japan Federation of Engineering Societies, Outstanding achievements in the area of engineering and industry

    Type of Award: Award from Japanese society, conference, symposium, etc.

  • honorary member of IIEEJ

    FUJISHIRO, Issei, 2018.06, IIEEJ

    Type of Award: Award from Japanese society, conference, symposium, etc.

  • IPSJ Fellow (2020 AY)

    FUJISHIRO, Issei, 2021.06, Information Processing Society of Japan

    Type of Award: Award from Japanese society, conference, symposium, etc.

     View Description

    For the achievement of pioneering works and education/dissemination in the area of computer visualization

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Other 【 Display / hide

  • 科学的知見の創出に資する可視化—文理融合研究と新パラダイム策定—

    2020年09月

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    日本学術会議総合工学委員会科学的知見の創出に資する可視化分科会報告

 

Courses Taught 【 Display / hide

  • VISUAL COMPUTING 2

    2022

  • VISUAL COMPUTING 1 B

    2022

  • VISUAL COMPUTING 1 A

    2022

  • RECITATION IN INFORMATION AND COMPUTER SCIENCE

    2022

  • MATHEMATICAL VISUALIZATION B

    2022

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Courses Previously Taught 【 Display / hide

  • 情報工学実験第1

    Keio University

    2015.04
    -
    2016.03

    Spring Semester, Laboratory work/practical work/exercise, Outside own faculty (within Keio), 3h, 100people

    コンピュータグラフィックス,モデリング,POV-Ray

  • 情報工学実験第1

    Keio University

    2014.04
    -
    2015.03

    Spring Semester, Laboratory work/practical work/exercise, Outside own faculty (within Keio), 3h, 100people

    コンピュータグラフィックス,モデリング,POV-Ray

  • コンピュータ可視化特論

    Keio University

    2015.04
    -
    2016.03

    Spring Semester, Lecture, Within own faculty, 1h, 45people

    可視化

  • コンピュータ可視化特論

    Keio University

    2014.04
    -
    2015.03

    Spring Semester, Lecture, Within own faculty, 1h, 45people

    可視化

  • アルゴリズム第1

    Keio University

    2015.04
    -
    2016.03

    Autumn Semester, Lecture, Within own faculty, 1h, 100people

    基本データ構造,探索,整列,木,グラフ

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Educational Activities and Special Notes 【 Display / hide

  • Visual Information Processing - Introduction to CG and Image Processing - New Edition

    2017.03

    , Development of Textbook and Teaching Material

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    コンピュータグラフィックスと画像処理の入門書.奥富正敏氏(東京工業大学教授)とともに編集委員長として編纂.CGエンジニアリング検定・画像処理エンジニア検定のベーシックの教則本として,主催する公益財団法人画像情報教育振興協会から出版.日本語による同分野への入門レベルの教科書として,全国の大学・専門学校等で長年にわたり,幅広く利用されている旧版を13年ぶりに全面改訂.

  • 改訂新版 コンピュータグラフィックス

    2015.03

    , Development of Textbook and Teaching Material

     View Details

    編集委員長として編纂したコンピュータグラフィックスの教科書の改訂新版.CGエンジニアリング検定エクスパートの教則本として,主催する公益財団法人画像情報教育振興協会から出版.日本語による同分野の定番テキストとして,担当する情報工学科・数理科学科対象の「コンピュータグラフィックス/図形処理」をはじめ,全国の企業・大学・専門学校等で幅広く利用されている.

  • Fundamentals of Informatics

    2013.03

    , Development of Textbook and Teaching Material

     View Details

    本学理工学部が開設する必修科目「情報学基礎」のテキストとして共立出版より出版.第8章「図の作成法」を担当.2013年11月25日に第2版が出版.

  • Computer Graphics

    2004.09

    , Development of Textbook and Teaching Material

     View Details

    編集委員長として編纂したコンピュータグラフィックスの教科書.CGエンジニアリング検定エクスパートの教則本として,主催する公益財団法人画像情報教育振興協会から出版.日本語による同分野の定番テキストとして,担当する情報工学科・数理科学科対象の「コンピュータグラフィックス/図形処理」をはじめ,全国の企業・大学・専門学校等で幅広く利用されている.

  • Visual Information Processing - Introduction to CG and Image Processing -

    2004.04

    , Development of Textbook and Teaching Material

     View Details

    コンピュータグラフィックスと画像処理の入門書.奥富正敏氏(東京工業大学教授)とともに編集委員長として編纂.CGエンジニアリング検定・画像処理エンジニア検定のベーシックの教則本として,主催する公益財団法人画像情報教育振興協会から出版.日本語による同分野への入門レベルの教科書として,全国の大学・専門学校等で長年にわたり,幅広く利用されている.

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Social Activities 【 Display / hide

  • 日本学術会議総合工学員会・科学的知見の創出に資する可視化分科会・新しい可視化パラダイム策定小委員会(第24期)委員長

    2018.10
    -
    2020.09
  • 日本学術会議総合工学員会・科学的知見の創出に資する可視化分科会・新しい可視化パラダイム策定小委員会(第24期)委員

    2018.07
    -
    2018.10
  • 日本学術会議総合工学員会・科学的知見の創出に資する可視化分科会(第24期)委員

    2018.03
    -
    2020.09
  • 日本学術会議総合工学員会・機械工学委員会合同計算科学シミュレーションと工学設計分科会(第24期)委員

    2017.12
    -
    2020.09
  • 日本学術会議情報学委員会・環境知能分科会(第24期)委員

    2017.12
    -
    2020.09

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Memberships in Academic Societies 【 Display / hide

  • Computer Graphics Society, 

    1986.04
    -
    1987.12
  • Information Processing Society of Japan, 

    1987.06
    -
    Present
  • IEEE Computer Society, 

    1989
    -
    Present
  • 情報知識学会, 

    1990.04
    -
    2000.03
  • ACM, 

    1992.09
    -
    Present

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Committee Experiences 【 Display / hide

  • 2021.08
    -
    2022.08

    第33期会長, 可視化情報学会

  • 2023.04

    International Program Committee member for Pacific Visualization 2023, IEEE

     View Remarks

    Seoul

  • 2023.02

    Co-Organizer of Shonan Meeting on Visualization for Explainable AI, National Institute of Informatics

     View Remarks

    Hayama,
    with Seokhee Hong and Daniel Keim

  • 2022.10

    Program Committee member for VIS 2022, IEEE

     View Remarks

    Oklahoma City (hybrid)

  • 2022.10

    International Program Committee member , ISVC 2022

     View Remarks

    San Diego, CA, USA

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