Takeo Kanade

{{Short description|Japanese computer scientist}}

{{Infobox scientist

| name = Takeo Kanade

| image = Takeo-Kanade KyotoPrize2016.jpg

| image_size =

| caption = Kanade at the 2016 Kyoto Prize Presentation Ceremony

| birth_date = {{birth date and age|1945|10|24}}

| birth_place = Hyōgo, Japan

| death_date =

| death_place =

| citizenship =

| nationality = Japanese

| ethnicity =

| fields = Computer vision
Robotics

| workplaces = Carnegie Mellon University
Kyoto University

| alma_mater = Kyoto University

| thesis_title = Picture processing system by computer complex and recognition of human faces

| thesis_url = https://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/162079/2/D_Kanade_Takeo.pdf

| thesis_year = 1974

| doctoral_advisor =

| academic_advisors = Makoto Nagao

| doctoral_students =

| notable_students =

| known_for = Lucas–Kanade method
Tomasi-Kanade method
Face Detection
Virtualized Reality

| influences =

| influenced =

| awards = NAE Member (1997)
Bower Award (2008)
Kyoto Prize (2016)
BBVA Foundation Frontiers of Knowledge Award (2023)

| religion =

| signature =

| footnotes =

}}

{{nihongo|Takeo Kanade|金出 武雄|Kanade Takeo|extra=born October 24, 1945 in Hyōgo}} is a Japanese computer scientist and one of the world's foremost researchers in computer vision. He is U.A. and Helen Whitaker Professor at Carnegie Mellon School of Computer Science. He has approximately 300 peer-reviewed academic publications and holds around 20 patents.[http://www.ri.cmu.edu/people/kanade_takeo.html Takeo Kanade's personal website]

Honors and achievements

  • In 1990 he was an inaugural Fellow of the Association for the Advancement of Artificial Intelligence{{Cite web |title=Elected AAAI Fellows |url=https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/ |access-date=2024-01-02 |website=AAAI |language=en-US}}
  • In 1997, he was elected to the US National Academy of Engineering for contributions to computer vision and robotics.{{Cite web|url=https://www.nae.edu/28071/Dr-Takeo-Kanade|title = Dr. Takeo Kanade}}
  • In 1997, he was elected to the American Academy of Arts and Sciences
  • In 1999 he was inducted as a Fellow of the Association for Computing Machinery.
  • In 2008 Kanade received the Bower Award and Prize for Achievement in Science from The Franklin Institute in Philadelphia, Pennsylvania.{{cite web |url=http://www.fi.edu/franklinawards/08/laureate_bowers-kanade.html |title=Bower Award and Prize for Achievement in Science - the Franklin Institute Awards |access-date=2008-07-21 |url-status=dead |archive-url=https://web.archive.org/web/20080509121537/http://www.fi.edu/franklinawards/08/laureate_bowers-kanade.html |archive-date=2008-05-09 }}
  • A special event called TK60: Celebrating Takeo Kanade's vision was held to commemorate his 60th birthday.{{cite web |url=http://www.ri.cmu.edu/events/tk60/ |title=TK60 - Celebrating Takeo Kanade's Vision |access-date=2008-11-03 |url-status=dead |archive-url=https://web.archive.org/web/20090304154309/http://www.ri.cmu.edu/events/tk60/ |archive-date=2009-03-04 }} This event was attended by prominent computer vision researchers.
  • Elected member of American Association of Artificial Intelligence, Robotics Society of Japan, and Institute of Electronics and Communication Engineers of Japan
  • Marr Prize, 1990 for the paper Shape from Interreflections which he co-authored with Shree K. Nayar and Katsushi Ikeuchi{{cite web|url=http://tab.computer.org/pamitc/conference/best-paper-awards.html|title=CVPR and ICCV Best Paper Awards|website=tab.computer.org}}
  • Longuet-Higgins Prize for lasting contribution in computer vision at
  • CVPR 2006 for the paper "Neural Network-Based Face Detection"{{cite journal

|author1 = Henry Rowley |author2=Shumeet Baluja|author3=Takeo Kanade

|title = Neural Network-Based Face Detection

|journal = Computer Vision and Pattern Recognition '96

|date = June 1996

|url = https://apps.dtic.mil/sti/pdfs/ADA366182.pdf|archive-url = https://web.archive.org/web/20170924073756/http://www.dtic.mil/get-tr-doc/pdf?AD=ADA366182|url-status = live|archive-date = September 24, 2017}} coauthored with H. Rowley and S. Balujagraphics.stanford.edu/~vaibhav/talks/cvpr06.ppt

  • CVPR 2008{{cite web|url=http://vision.eecs.ucf.edu/|title=Vision Website|website=vision.eecs.ucf.edu}} for the paper "Probabilistic modeling of local appearance and spatial relationships for object recognition"{{cite journal

|author1 = Henry Schneiderman|author2=Takeo Kanade

|title = Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition

|journal = Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '98)

|date = July 1998

|pages = 45–51}} coauthored with H Schneiderman

  • The other awards he has received include the C&C Award, the Joseph Engelberger Award, FIT Funai Accomplishment Award, the Allen Newell Research Excellence Award, and the JARA Award.
  • He has served for many government, industrial, and university advisory boards, including the Aeronautics and Space Engineering Board (ASEB) of the National Research Council, NASA's Advanced Technology Advisory Committee, PITAC Panel for Transforming Healthcare Panel, and the Advisory Board of Canadian Institute for Advanced Research.{{cite web |url=http://www.ri.cmu.edu/events/tk60/bio.html |title=TK60 - Takeo Kanade's Biography |website=www.ri.cmu.edu |url-status=dead |archive-url=https://web.archive.org/web/20070522135347/http://www.ri.cmu.edu/events/tk60/bio.html |archive-date=2007-05-22}}
  • In 2016 Kanade received the Kyoto Prize in Information Sciences.{{cite web|url=http://www.kyotoprize.org/en/laureates/latest/|title=Kyoto Prize, Inamori Foundation|website=Kyoto Prize, Inamori Foundation|access-date=2016-06-17|archive-date=2018-07-30|archive-url=https://web.archive.org/web/20180730110430/https://www.kyotoprize.org/en/laureates/latest/|url-status=dead}}
  • In 2019 he was the recipient of Armenia's Global High-Tech Award.[https://globalitaward.am/en/laureates/takeo-kanade Laureates - Global High-Tech Award]
  • In 2023 he was awarded the BBVA Foundation Frontiers of Knowledge Award.[https://www.frontiersofknowledgeawards-fbbva.es/noticias/frontiers-of-knowledge-award-16th-edition-information-communication-technologies/ BBVA Foundation Frontiers of Knowledge Award 2023]

Notable works

|doi=10.1007/BF00129684

|author1=Carlo Tomasi|author2=Takeo Kanade

|title=Shape and motion from image streams under orthography: a factorization method

|journal=International Journal of Computer Vision

|volume=9

|issue=2

|pages=137–154

|date=November 1992|citeseerx=10.1.1.131.9807|s2cid=2931825}}

  • Virtualized Reality{{cite journal

|author1 = Takeo Kanade|author2=Peter Rander|author3=P J Narayanan

|title = Virtualized Reality: Constructing Virtual Worlds from Real Scenes

|journal = IEEE MultiMedia

|date=January 1997

|volume = 4

|issue = 1

|pages = 34–47

|doi=10.1109/93.580394

|citeseerx=10.1.1.21.648}}

  • Multi-baseline stereo and the world's first full-image video-rate stereo machine {{cite book

|author1 = Takeo Kanade|title=Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition|author2=Atsushi Yoshida|author3=Kazuo Oda|author4=Hiroshi Kano|author5=Masaya Tanaka

|chapter = A Stereo Machine for Video-rate Dense Depth Mapping and its New Applications

|pages=196–202|year = 1996

|doi=10.1109/CVPR.1996.517074|isbn=978-0-8186-7259-0|citeseerx=10.1.1.33.4657|s2cid=14574065}}

  • VLSI computational sensors{{cite journal

|author1 = Vladimir Brajovic|author2=Takeo Kanade

|title = Computational Sensor for Visual Tracking with Attention

|journal = IEEE Journal of Solid-State Circuits

|date=August 1998

|volume = 33

|issue = 8

|pages = "1199–1207

|doi=10.1109/4.705358|bibcode=1998IJSSC..33.1199B

}}

  • Shape recovery from line drawings (known as Origami World theory and skew symmetry){{cite journal

|author = Takeo Kanade

|title = A Theory of Origami World

|journal = Artificial Intelligence

|date=June 1980

|volume = 13

|issue = 3

|pages = 279–311

|doi=10.1016/0004-3702(80)90004-1

}}

References