PeopleofSuperintelligence

Researcher

Timo Ahonen

Timo Ahonen is a computer vision researcher and engineer known for a face-recognition method built on Local Binary Pattern histograms. He coauthored "Face Recognition with Local Binary Patterns" with Abdenour Hadid and Matti Pietikäinen at ECCV in 2004, and in 2006 the three published a paper on face description with local binary patterns in IEEE Transactions on Pattern Analysis and Machine Intelligence. After a PhD at the University of Oulu in 2009, he coauthored the 2011 Springer book Computer Vision Using Local Binary Patterns and presented the FCam course at SIGGRAPH Asia 2011 with Kari Pulli and Alejandro Troccoli. The ECCV paper received the Koenderink Prize, a test-of-time award, in 2014. Today he is a Software Engineering Manager at Meta, where he works on augmented reality products after earlier roles at Nokia's R&D unit in Silicon Valley.

Now at
Meta
Badges

Timeline

  1. 2004

    Face recognition with Local Binary Patterns

    In 2004, he coauthors "Face Recognition with Local Binary Patterns" with Abdenour Hadid and Matti Pietikäinen at ECCV. The method divides the face area into small regions, extracts Local Binary Pattern histograms from each, and joins them into one feature histogram; on FERET tests it outperforms PCA, the Bayesian Intra/extrapersonal Classifier and Elastic Bunch Graph Matching.

  2. 2006

    A paper in IEEE TPAMI

    In 2006, Ahonen, Hadid and Pietikäinen publish "Face description with local binary patterns: Application to face recognition" in IEEE Transactions on Pattern Analysis and Machine Intelligence.

  3. 2008

    A framework for texture descriptors

    In 2008, he and Matti Pietikäinen publish "A Framework for Analyzing Texture Descriptors," which unifies descriptors such as Local Binary Patterns and Maximum Response 8. Its filter-based approach shows that LBP can be seen as a special filter-based texture operator.

  4. 2009

    A PhD at Oulu

    He receives his PhD degree from the University of Oulu in Finland in 2009.

  5. 2011

    A book on Local Binary Patterns

    In 2011, Springer publishes Computer Vision Using Local Binary Patterns, which he coauthors with Matti Pietikäinen, Abdenour Hadid and Guoying Zhao as volume 40 of the Computational Imaging and Vision series. Its parts cover LBP operators, analysis of still images, motion analysis and face analysis.

  6. 2011

    The FCam course at SIGGRAPH Asia

    At SIGGRAPH Asia 2011, he presents the course "FCam: an architecture and API for computational cameras" with Kari Pulli and Alejandro Troccoli. FCam is an open-source API for precise control of camera systems, implemented for the Nokia N900.

  7. 2014

    The Koenderink Prize

    In 2014, he receives the Jan Koenderink Prize for "Face Recognition with Local Binary Patterns," his 2004 ECCV paper with Hadid and Pietikäinen. The prize recognizes "fundamental contributions in computer vision that stood the test of time."

  8. As of October 2026

    Software engineering manager at Meta

    He is a Software Engineering Manager at Meta, working in computer vision, computational photography and data science, and his Meta work includes augmented reality products. Before Meta, he works in Nokia's R&D unit in Silicon Valley in research scientist and R&D leader roles in imaging, computer vision and data science.

Career

  1. NowMetaSoftware Engineering Manager
  2. NokiaResearch Scientist

Education

  1. 2009University of OuluPhD

From the biography.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Timo Ahonen. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Meta. 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.
  3. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Meta. 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.
  4. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Meta. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.

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 Timo Ahonen yet. Send us a free-licensed photo.

  1. Face Recognition with Local Binary Patterns | ML Anthology mlanthology.org. Checked 20 October 2026.
  2. Timo Ahonen - Google Scholar scholar.google.fi. Checked 20 October 2026.
  3. A Framework for Analyzing Texture Descriptors - SCITEPRESS scitepress.org. Checked 20 October 2026.
  4. Timo Ahonen - Embedded Vision Summit Archive embeddedvisionsummit.com. Checked 20 October 2026.
  5. Computer Vision Using Local Binary Patterns - KIT library catalogue katalog.bibliothek.kit.edu. Checked 20 October 2026.
  6. FCam: an architecture and API for computational cameras by Pulli, Ahonen and Troccoli - ACM SIGGRAPH History Archives history.siggraph.org. Checked 20 October 2026.
  7. ECVA | European Computer Vision Association ecva.net. Checked 20 October 2026.