PeopleofSuperintelligence

Researcher

Michal Haindl

Michal Haindl is a Czech researcher in pattern recognition and computer vision whose models of visual texture rest on Markov random fields and probabilistic mixtures. He earned his Ph.D. from the Czechoslovak Academy of Sciences in 1983 and a Sc.D. in 2001, and he held posts at the University of Newcastle, Rutherford Appleton Laboratory, CWI in Amsterdam and INRIA before returning to the Institute of Information Theory and Automation (UTIA) in 1995. The International Association for Pattern Recognition made him a Fellow in 2004 for contributions to model-based pattern recognition. With Jiří Filip, he published a survey of bidirectional texture function modelling in IEEE Transactions on Pattern Analysis and Machine Intelligence in 2009 and the book Visual Texture in 2013, and a team he led won the 2011 Award of the Academy of Sciences of the Czech Republic. He is head of the Pattern Recognition Department at UTIA.

Now at
Institute of Information Theory and Automation
Works
195
Citations
1,860
h-index
23
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1983

    Ph.D. from the Czechoslovak Academy

    He earns his Ph.D. from the Czechoslovak Academy of Sciences in 1983, after graduating from the Czech Technical University in Prague. From 1983 on, he researches topics in image analysis and pattern recognition.

  2. By 1995

    Posts abroad and return to UTIA

    His career includes positions at the Institute of Information Theory and Automation (UTIA) of the Czechoslovak Academy of Sciences, the University of Newcastle, Rutherford Appleton Laboratory, CWI in Amsterdam and INRIA in Rocquencourt. He returns to UTIA in 1995.

  3. 2001

    A Sc.D. degree

    He obtains the Sc.D. degree in 2001.

  4. 2004

    An IAPR Fellowship

    He becomes a Fellow of the International Association for Pattern Recognition (IAPR) in 2004, for contributions to the theory and practice of model-based pattern recognition and for service to IAPR. IAPR President Rangachar Kasturi presents the award to him at Cambridge.

  5. 2009–2010

    BTF survey and texture models

    With Jiří Filip, he publishes the survey "Bidirectional Texture Function Modeling: A State of the Art Survey" in IEEE Transactions on Pattern Analysis and Machine Intelligence in 2009. A 2010 ERCIM News article by Haindl, Filip and Martin Hatka presents multidimensional probabilistic models based on Markov random fields or probabilistic mixtures, with compression of material measurements of up to 1:1,000,000.

  6. 2011

    Academy of Sciences Award

    In 2011, the UTIA team he leads receives the Award of the Academy of Sciences of the Czech Republic for outstanding results of major scientific importance. The awarded work is "Mathematical modeling of visual properties of surface materials".

  7. 2013

    The book Visual Texture

    With Jiří Filip, he publishes Visual Texture: Accurate Material Appearance Measurement, Representation and Modeling with Springer in 2013, in the Advances in Computer Vision and Pattern Recognition series. The book surveys the state of the art in multidimensional, physically correct visual texture modeling.

  8. As of October 2026

    Pattern Recognition Department head

    He heads the Pattern Recognition Department at UTIA. His current research covers random fields in pattern recognition and image processing, artificial intelligence, and bidirectional texture function modelling.

Career

  1. NowInstitute of Information Theory and AutomationHead
  2. 1995–1996NWO-I
  3. 1995–2026Czech Academy of Sciences

Education

  1. 1983Czechoslovak Academy of SciencesPh.D.
  2. Czech Technical University in Prague

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Bidirectional Texture Function Modeling: A State of the Art Survey2008 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 113 citations
  2. Feature Selection Based on Mutual Correlation2006 · Lecture notes in computer science · 83 citations
  3. Texture segmentation benchmark2008 · International Conference on Pattern Recognition · 69 citations
  4. Unsupervised detection of non-iris occlusions2015 · Pattern Recognition Letters · 69 citations
  5. Conditional Mutual Information Based Feature Selection for Classification Task2007 · Lecture notes in computer science · 64 citationsWith Pavel Pudil

From OpenAlex, as of 21 October 2026.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Czech Academy of Sciences. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  2. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes Inria. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  3. Google has the highest combined h-index among AI organizationsIncludes Inria. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  4. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Inria. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Michal Haindl yet. Send us a free-licensed photo.

  1. Prof. Ing. Michal Haindl, DrSc. | Institute of Information Theory and Automation utia.cas.cz. Checked 20 October 2026.
  2. Chronological List of IAPR Fellows – International Association for Pattern Recognition iapr.org. Checked 20 October 2026.
  3. Awards | Department of Pattern Recognition ro.utia.cas.cz. Checked 20 October 2026.
  4. Bidirectional texture function - Wikipedia en.wikipedia.org. Checked 20 October 2026.
  5. Realistic Material Appearance Modelling ercim-news.ercim.eu. Checked 20 October 2026.
  6. Award of the Academy of Sciences of the Czech Republic ercim-news.ercim.eu. Checked 20 October 2026.
  7. News | Department of Pattern Recognition ro.utia.cas.cz. Checked 20 October 2026.
  8. Visual Texture ercim-news.ercim.eu. Checked 20 October 2026.
  9. Department of Pattern Recognition ro.utia.cas.cz. Checked 20 October 2026.