Fujishiro, Issei

写真a

Affiliation

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

Position

Professor

E-mail Address

E-mail address

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

    Japan, University, Graduated

  • 1983.04
    -
    1985.03

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

    Japan, 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

  • High performance computing

  • Multimedia database (Media Informatics/Data Base)

  • 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

  • Adjusting control parameters of topology-accentuated transfer functions for volume raycasting

    Yuriko Takeshima, Shigeo Takahashi, Issei Fujishiro

    Topological Methods in Data Analysis and Visualization V: Theory, Algorithms, and Applications (Springer International Publishing)     71 - 86 2020.12

    Research paper (international conference proceedings), Joint Work, Accepted

     View Summary

    The design of automatic transfer functions for volume rendering is a perennial problem in volume visualization. Over the last three decades, a variety of design methodologies have been proposed. However, sensitive adjustment of related control parameters remains entrusted to users, because rendering conditions,such as the thickness of emphasized subvolumes in the ray direction and the size of a target dataset, differ on a case-by-case basis. Our group previously proposed one-dimensional transfer functions to accentuate topological changes in the scalar field of the target dataset. However, the method forces us to determine the actual control parameter values for the transfer functions in an empirical manner. In this paper, we propose a supplementary mechanism with which to judiciously define an appropriate profile of the opacity values. More specifically, the height and width of the hat opacity transfer functions that accentuate feature isosurfaces are determined according to the number of voxels belonging to the relevant topologically equivalent scalar field interval. The feasibility of the proposed method is evaluated by its application to five kinds of volume datasets.

  • TimeTubesX: A query-driven visual exploration of observable, photometric, and polarimetric behaviors of blazars

    Naoko Sawada, Makoto Uemura, Johanna Beyer, Hanspeter Pfister, Issei Fujishiro:

    IEEE Transactions on Visualization and Computer Graphics (IEEE)   2020.09

    Research paper (scientific journal), Joint Work, Accepted,  ISSN  1077-2626

     View Summary

    Blazars are celestial bodies of high interest to astronomers. In particular, through the analysis of photometric and polarimetric observations of blazars, astronomers aim to understand the physics of the blazar's relativistic jet. However, it is challenging
    to recognize correlations and time variations of the observed polarization, intensity, and color of the emitted light. In our prior study, we proposed TimeTubes to visualize a blazar dataset as a 3D volumetric tube. In this paper, we build primarily on the TimeTubes
    representation of blazar datasets to present a new visual analytics environment named TimeTubesX, into which we have integrated sophisticated feature and pattern detection techniques for effective location of observable and recurring time variation patterns in
    long-term, multi-dimensional datasets. Automatic feature extraction detects time intervals corresponding to well-known blazar behaviors. Dynamic visual querying allows users to search long-term observations for time intervals similar to a time interval of interest
    (query-by-example) or a sketch of temporal patterns (query-by-sketch). Users are also allowed to build up another visual query guided by the time interval of interest found in the previous process and refine the results. We demonstrate how TimeTubesX has been used
    successfully by domain experts for the detailed analysis of blazar datasets and report on the results.

  • Visual simulation of weathering coated metallic objects

    Akinori Ishitobi, Masanori Nakayama, Issei Fujishiro

    The Visual Computer (Springer-Verlag)  36 ( 10-12 ) 2383 - 2393 2020.09

    Research paper (scientific journal), Joint Work, Accepted,  ISSN  0178-2789

     View Summary

    Weathering, referring to techniques for depicting outdoor objects as having suffered rain and wind damage, has a long history of research, and many methods can be found in the literature. Metal is a representative target of weathering, as metallic surface corrosion is a widespread deterioration phenomenon in our daily life. However, few weathering methods consider the effects of rust-preventive paint, while real metal is usually treated with a preservative. This paper presents a novel procedural method for weathering coated metal objects. In our method, a coated surface is imposed on a 3D triangular mesh. We enable the mechanical deterioration of coating film, and we deform the mesh model to express cracking and peeling. As further defacing elements on the coating film, runoff rust and darkening are reproduced by changing the color and reflectance of the surface. Besides, by locally adjusting the control parameters of the designated areas on the surface, the process of deterioration can be arbitrarily directed. Several visual simulation results are shown to prove empirically the faithfulness of the proposed methods.

  • Enhancing visual performance of hemianopia patients with overview window

    Xi Zhao, Issei Fujishiro, Kentaro Go, Masahiro Toyoura, Kenji Kashiwagi, Xiaoyang Mao

    Computers & Graphics (Elsevier)  89   59 - 67 2020.06

    Research paper (scientific journal), Joint Work, Accepted

     View Summary

    Visual field defect (VFD) is a type of ophthalmic disease that causes the loss of part of the patient’s field of view (FoV). In this paper, we propose a method to enlarge the restricted FoV with an optical see-through head-mounted display (OST-HMD) equipped with a camera that captures an overview and overlays it on the persisting FoV. Because the overview window occludes the real background scene, it is important to create a balance between the augmented contextual information and the unscreened local information. We recruited twelve participants and conducted an experiment to seek the best size, position, and opacity for the overview window through a Whac-A-Mole task (a touchscreen game). We found that the performance was better when the overview window was of medium size (FoV of 9.148 degree x 5.153 degree, nearly one third of FoV of the used OST-HMD) and placed lower in the visual field. Either too large or too small a size decreases the performance. The performance increases with increased opacity. The obtained results can legitimate the default setting for the overview window.

  • 3D distance field-based apparel modeling

    Masanori Nakayama, Takami Yamamoto, Issei Fujishiro

    Proceedings of IEVC 2021 (IIEEJ)   2021.09

    Research paper (international conference proceedings), Joint Work, Accepted

     View Summary

    This study aims to effectively design an apparel item by converting a polygon model of the human body obtained through 3D scan into a volume model. From the model, we can quickly generate a curved surface that retains a constant distance from the body surface, and thus design clothing material that ensures accurate “allowance” by defining the distance field for the body surface. Furthermore, by drawing a design line on the curved surface, the pattern required for actual sewing can be designed in three dimensions. A dynamics simulation is applied to smooth the curvatures so that the desired flat surface pattern can finally be obtained. As a result of actually sewing the virtually designed pattern and try-on, it was proven that we can generate clothes with the appropriate allowance and proportions.

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

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Reviews, Commentaries, etc. 【 Display / hide

  • ろくろ型三次元透明キャンバスを用いたエフェクト描画インタフェース

    池田 理和乃,藤代 一成

    情報処理学会第83回全国大会講演論文集 (情報処理学会)  4   75 - 76 2021.03

    Summary of the papers read (national conference and other science council), Joint Work

  • 自然に振る舞う NPC 群衆シーンの覚醒度–感情価モデルに基づく生成

    大字 諒,李 睿哲,中山 雅紀,藤代 一成

    情報処理学会第83回全国大会講演論文集 (情報処理学会)  4   95 - 96 2021.03

    Summary of the papers read (national conference and other science council), Joint Work

  • 二色塗り分けスパークラインを用いた COVID-19 感染データの可視化

    本田 健悟,斎藤 隆文,藤代 一成

    情報処理学会第83回全国大会講演論文集 (情報処理学会)  4   89 - 90 2021.03

    Summary of the papers read (national conference and other science council), Joint Work

  • Edge Indicator を用いた半盲患者の視野外情報補償

    一瀬 佳祐,趙 希,藤代 一成,豊浦 正広,柏木 賢治,郷 健太郎,茅 暁陽

    情報処理学会第83回全国大会講演論文集 (情報処理学会)  4   85 - 86 2021.03

    Summary of the papers read (national conference and other science council), Joint Work

  • 画像変換デザインに基づく縦編みレースの三次元モデル生成

    多田 一輝,藤代 一成

    情報処理学会第83回全国大会講演論文集 (情報処理学会)  4   81 - 82 2021.03

    Summary of the papers read (national conference and other science council), Joint Work

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Presentations 【 Display / hide

  • 二色塗分けスパークライン:COVID-19 感染データの可視化 が読者に与える影響の調査

    本田健悟,斎藤隆文,藤代 一成

    第49回 可視化情報シンポジウム (オンライン開催) , 2021.09, Oral Presentation(general), 可視化情報学会

  • FORSETI: A visual analysis environment for authoring autopsy reports in extended legal medicine mark-up language

    Issei Fujishiro, Baoquin Wang

    CGI Workshop in memory of Prof. Tosiyasu L. Kunii (onlile) , 2021.09, Oral Presentation(guest/special), Computer Graphics Society

     View Summary

    Prof. Tosiyasu L. Kunii passed away in November 2020. He had been a professor at Department of Information Sciences, Faculty of Science, the University of Tokyo and was the founding president of the University of Aizu. CGI 2021 held a workshop in memory of Prof. Kunii since the conference was founded by him in 1987. Fujishiro started his carrier as an assistant professor to work with Prof. Kunii at the University of Tokyo in 1985 and hence, he was invited to provide a talk for the workshop. Fujishiro picked up a topic of FORSETI, a computational forensic visualization system under development. It is because in 1985, the first paper coauthored by Prof. Kunii and Fujishiro proposed a medical imaging method. The paper was published in the second volume of the Visual Computer journal, which was also initiated by Prof. Kunii as the first editor in chief in 1985. Following Fujishiro’s brief message in homage to Prof. Kunii, the main body of the talk was delivered by Baoqing Wang (D3). The original paper on FORSETI is to be published in a forthcoming issue in memory of Prof. Kunii of the Visual Computer Journal.

  • Panel at C-J Vis 2021

    Issei Fujishiro, Baoqing Wang, Shigeo Takahashi, Naohisa Sakamoto, Koji Koyamada, Takayuki Itoh, Kazuo Misue, Xiaoru Yuan, Jiawan Zhang, Gang Liu, Shen Ying, Jun Tao, Chongke Bi, Wei Zeng, Lingyun Yu, Le Liu

    Fourth Chinese-Japanese Joint Visualization Workshop (C-J Vis 2021) (Wuhan, China (online)) , 2021.07, Oral Presentation(guest/special), China-Japan Visualization Consortium

     View Summary

    The following three topics were discussed:

    1. To extend the influence of the Asian visualization community in the visualization field, besides of ChinaVis and the Journal of Visualization, how can we further explore the collaboration possibilities between CSIG-VIS and the visualization community in Japan?

    2. Can you discuss the interaction between visualization and other domain fields. For instance, what implications does the development of AI have in the field of visualization? How can visualization and visual analytics be applied in emerging topics like Tokyo Olympics, Peking winter Olympics, and the Covid-19 pandemic?

    3. Do you have any suggestions for visualization researchers, especially those doing scientific visualization on how shall we adopt display and interaction modalities. For instance, how to develop visualizations in VR/AR environment? How shall we conduct user studies to make the visualizations more convincing?

  • FORSETI and THEMIS: Visual analysis environments for computational forensics

    Baoqing Wang, Yume Asayama, Issei Fujishiro

    Fourth Chinese-Japanese Joint Visualization Workshop (C-J Vis 2021) (Wuhan, China (online)) , 2021.07, Oral Presentation(guest/special), China-Japan Visualization Consortium

     View Summary

    In this talk, the latest results of the Computational Forensics project were introduced with focus on the systems FORSETI and THEMIS.

  • Visual exploration of time-varying multi-dimensional datasets

    Issei Fujishiro

    2021 International Summer School on Visual Analytics (Hangzhou, China) , 2021.07, Oral Presentation(guest/special), Zhejiang University

     View Summary

    Many problems are observed in the form of time-varying multi-dimensional datasets. In this lecture, we will discuss how to visually explore large datasets of that kind, with a particular focus on automatic feature extraction, dynamic visual querying, and clustering. Automatic feature extraction is dedicated to the discovery of dynamic time variations over multiple variables and their characteristic derivatives. Dynamic visual querying provides more efficient exploration of recurring time variation patterns and subsequences to validate specific hypotheses. Clustering helps to identify hidden universalities in a long-term dataset by classifying subsequences according to their similarities. These concepts will be illustrated with several examples executed in a system, called TimeTubeX, for blazar observation research.

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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, Co-investigator

     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.

     View Remarks

    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

     View Summary

    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.

     View Remarks

    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

     View Summary

    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.

     View Remarks

    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, Co-investigator

     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

     View Details

    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

     View Details

    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..  Country: Japan

  • 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: Awards of National Conference, Council and Symposium.  Country: Japan

  • honorary member of IIEEJ

    FUJISHIRO, Issei, 2018.06, IIEEJ

    Type of Award: Awards of National Conference, Council and Symposium.  Country: Japan

  • IPSJ Fellow (2020 AY)

    FUJISHIRO, Issei, 2021.06, Information Processing Society of Japan

    Type of Award: Awards of National Conference, Council and Symposium.  Country: Japan

     View Description

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

  • fellow of IIEEJ

    FUJISHIRO, Issei, 2018.06, IIEEJ, CG・可視化分野の研究教育推進と学会貢献

    Type of Award: Awards of National Conference, Council and Symposium.  Country: Japan

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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

    2021

  • VISUAL COMPUTING 1 B

    2021

  • VISUAL COMPUTING 1 A

    2021

  • RECITATION IN INFORMATION AND COMPUTER SCIENCE

    2021

  • MATHEMATICAL VISUALIZATION B

    2021

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Courses Previously Taught 【 Display / hide

  • 情報工学実験第1

    Keio University, 2015, Spring Semester, Major subject, 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, Spring Semester, Major subject, 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, Spring Semester, Major subject, Lecture, Within own faculty, 1h, 45people

    可視化

  • コンピュータ可視化特論

    Keio University, 2014, Spring Semester, Major subject, Lecture, Within own faculty, 1h, 45people

    可視化

  • アルゴリズム第1

    Keio University, 2015, Autumn Semester, Major subject, 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

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    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

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    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

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    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

  • 2022.06

    International Program Committee member for EuroVis 2022, Eurographics

     View Remarks

    Rome

  • 2022.04
    -
    2024.04

    International Program Committee member for Pacific Visualization 2022, IEEE

     View Remarks

    Tsukuba

  • 2022.02

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

     View Remarks

    Hayama,
    with Seokhee Hong and Daniel Keim

  • 2022.01

    International Program Committee member, Fourth Leipzig Symposium on Visualization in Applications (LEVIA22)

     View Remarks

    Leipzig University, Germany

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