Researcher

Katsushi Ikeuchi

Katsushi Ikeuchi researches computer vision, robotics and learning from observation. He earned a University of Tokyo PhD in 1978 and worked on shape from shading in 1981. Later studies map human grasps to robot grasps and let a humanoid imitate dance. His cultural-heritage work includes the Great Buddha and Bayon digital archival projects. He received the PAMI Distinguished Researcher Award in 2011. He moved to Microsoft Research in 2015.

Works
975
Citations
19,654
h-index
73

Publication numbers from OpenAlex, as of 14 October 2026.

Photo of Katsushi Ikeuchi

Timeline

  1. 1978–1981

    Shape from visual information

    Ikeuchi received his information engineering PhD at the University of Tokyo in 1978. He published 1981 work on recovering shape from shading and visible boundaries. This concerns extracting three-dimensional information from image evidence.

  2. 1997–2007

    Learning robot actions from people

    He coauthored a 1997 study mapping observed human grasps to manipulator grasps. Later work includes a 2007 model enabling a biped humanoid to imitate dance. These studies put observation at the center of teaching a robot an action.

  3. 2007–2008

    Digitally recording cultural objects

    He worked on the Great Buddha Project and laser range sensing for the Bayon archival project. These works apply visual reconstruction to cultural heritage. They preserve and analyze object and site geometry, alongside his work on robotics.

  4. 2011–2015

    Recognition and a career move

    He received the 2011 PAMI Distinguished Researcher Award. He moved to Microsoft Research in 2015, after research at MIT, Japan’s Electrotechnical Laboratory, Carnegie Mellon and the University of Tokyo.

Sources and credits

Photo: www.cvl.iis.u-tokyo.ac.jp; creator not stated. License: Not stated by source. Source: cvl.iis.u-tokyo.ac.jp. Cropped to a square and resized. Ask us to remove or replace this photo.

  1. Katsushi Ikeuchi: researcher biography and selected work cvl.iis.u-tokyo.ac.jp. Checked 13 October 2026.
  2. CVF: Computer Vision Awards thecvf.com. Checked 13 October 2026.