Researcher

Ir Pieter P. Jonker

Also known as Pieter Jonker, Prof.dr.ir. P.P. Jonker

Ir Pieter P. Jonker is a pattern-recognition researcher whose work spans special-purpose architectures, robot vision, and deep-learning media tools. After studying electrical engineering at the University of Twente and working at TNO, he joined TU Delft in 1984 and became a part-time Machine Vision professor at TU/e by 2009. He became an IAPR Fellow in 1994; his Clockwork Orange team competed in RoboCup, and his later work explored depth-from-luminance and human-inspired active vision. In 2022, he coauthored Photo2Video, and as of October 2026 he is a professor at TU Delft.

Timeline

  1. By 1984

    Joining TU Delft

    After studying electrical engineering at the University of Twente and working at TNO, he joins TU Delft in 1984.

  2. 1994

    An IAPR fellowship

    IAPR names Ir Pieter P. Jonker a Fellow in 1994 for contributions to special purpose architectures and service to IAPR.

  3. 1999–2004

    Clockwork Orange in RoboCup

    His Clockwork Orange team from TU Delft's Pattern Recognition section competes in RoboCup from 1999; in 2004, the team seeks a quarterfinal place in Portugal.

  4. 2009

    Machine vision at TU/e

    By March 2009, he is a part-time professor of Machine Vision in TU/e's Mechanical Engineering department and its Dynamics and Control Theory group.

  5. 2015

    A depth-from-luminance method

    He and Delft colleagues develop a method that uses image luminance to calculate depth maps and convert still pictures into 3D formats.

  6. 2017

    Active vision for humanoid robots

    He coauthors an active-vision system that imitates human eye and neck movements and combines stereopsis with convergence to guide robot action and exploration.

  7. 2022

    Videos from still images

    He coauthors Photo2Video, a deep-learning paper that describes an automated workflow for generating semantically aware video stories from still photographs.

  8. As of October 2026

    Professor at TU Delft

    He holds the title Prof.dr.ir. at TU Delft, with affiliations in Mechanical Engineering, Biomechanical Engineering, and Biomechatronics & Human-Machine Control.

Sources and credits

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  1. Cursor | Achtergrond web.tue.nl. Checked 19 October 2026.
  2. Chronological List of IAPR Fellows iapr.org. Checked 19 October 2026.
  3. Delftse robothondjes trappen WK-balletje in Lissabon delta.tudelft.nl. Checked 19 October 2026.
  4. New patent on 3D technology delta.tudelft.nl. Checked 19 October 2026.
  5. An advanced active vision system with multimodal visual odometry perception for humanoid robots research.tudelft.nl. Checked 19 October 2026.
  6. Photo2Video: Semantic-Aware Deep Learning-Based Video Generation from Still Content research.tudelft.nl. Checked 19 October 2026.
  7. Staff tudelft.nl. Checked 19 October 2026.