Matti Pietikäinen (academic) explained

Matti Kalevi Pietikäinen
Nationality:	Finnish
Field:	Computer vision, Pattern recognition
Work Institution:	University of Oulu, Center for Machine Vision and Signal Analysis
Alma Mater:	University of Oulu
Doctoral Advisor:	Azriel Rosenfeld
Known For:	fundamental contributions to texture analysis and facial image analysis
Prizes:	IEEE Fellow IAPR Fellow AAIA Fellow Pentti Kaitera Prize IET Journal's Premium Award Koenderink Prize King-Sun Fu Prize Highly Cited Researcher Highly Cited Researcher whose h-index is at least 100 in Google Scholar

Matti Kalevi Pietikäinen is a computer scientist. He is currently Professor (emer.) in the Center for Machine Vision and Signal Analysis, University of Oulu, Finland. His research interests are in texture-based computer vision, face analysis, affective computing, biometrics, and vision-based perceptual interfaces. He was Director of the Center for Machine Vision Research,^[1] and Scientific Director of Infotech Oulu.^[2]

Biography

Pietikäinen received the Doctor of Science in Technology degree from University of Oulu, Finland, in 1982. From 1980 to 1981 and from 1984 to 1985 he was with the Computer Vision Laboratory at the University of Maryland, working with a pioneer of the computer image analysis, Professor Azriel Rosenfeld. After the first visit, he established computer vision research at University of Oulu. For the 25th Anniversary book of his group in Oulu, see the list of selected publications.

He has authored over 350 refereed scientific publications, which have been frequently cited.^[3] He has made pioneering contributions to local binary patterns (LBP) methodology, texture-based image and video analysis, and facial image analysis.

He has been Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Pattern Recognition, IEEE Transactions on Forensics and Security, Image and Vision Computing, and IEEE Transactions on Biometrics, Behavior and Identity Science. He has also been Guest Editor for several special issues, including IEEE TPAMI and International Journal of Computer Vision.

In 2011, he was named an IEEE Fellow for his contributions to texture and facial image analysis for machine vision.^[4] Already in 1994, he received the IAPR Fellow nomination for contributions to machine vision and its applications in industry and service to the IAPR^[5] In 2018, he received the IAPR's King-Sun Fu Prize for fundamental contributions to texture analysis and facial image analysis.^[6] He was named a Highly Cited Researcher by Clarivate Analytics in 2018.^[7] Since February 2023 he will be listed by Webometrics among the Highly Cited Researchers whose h-index is at least 100. In 2024 he was invited to be Fellow of Asia-Pacific Artificial Intelligence Association (AAIA).

Selected publications

• Ojala . T. . Pietikäinen . M. . Harwood . D. . 1996 . A comparative study of texture measures with classification based on feature distributions . Pattern Recognition . 29 . 1 . 51–59 . 10.1016/0031-3203(95)00067-4. 1996PatRe..29...51O .
• Sauvola . J.. Pietikäinen . M. . 2000 . Adaptive document image binarization . Pattern Recognition . 33 . 2. 225–236. 10.1016/S0031-3203(99)00055-2. 2000PatRe..33..225S. 10338.dmlcz/145819.
• Ojala . T. . Pietikäinen . M. . Mäenpää . T. . 2002 . Multiresolution gray-scale and rotation invariant texture classification with local binary patterns . IEEE Transactions on Pattern Analysis and Machine Intelligence . 24 . 7 . 971–987 . 10.1109/tpami.2002.1017623. 10.1.1.157.1576 . 14540685 .
• Heikkilä . M. . Pietikäinen . M. . 2006 . A texture-based method for modeling the background and detecting moving objects. IEEE Transactions on Pattern Analysis and Machine Intelligence . 28 . 4 . 657–662. 10.1109/TPAMI.2006.68 . 16566514 . 10.1.1.404.508 . 1152842 .
• Ahonen . T. . Hadid . A. . Pietikäinen . M. . 2006 . Face description with local binary patterns: Application to face recognition . IEEE Transactions on Pattern Analysis and Machine Intelligence . 28 . 12 . 2037–2041 . 10.1109/tpami.2006.244. 17108377 . 369876 .
• Book: Pietikäinen . M. . Aikio . H. . Karppinen . K. . From algorithms to vision systems - Machine Vision Group 25 years . 2006 . University of Oulu .
• Zhao . G. . Pietikäinen . M. . 2007 . Dynamic texture recognition using local binary patterns with an application to facial expressions . IEEE Transactions on Pattern Analysis and Machine Intelligence . 29 . 6 . 915–928 . 10.1109/tpami.2007.1110. 17431293 . 10.1.1.714.2104 . 16451924 .
• Heikkilä . M. . Pietikäinen . M. . Schmid . C. . 2009 . Description of interest regions with local binary patterns . Pattern Recognition . 42 . 3 . 425–436. 10.1016/j.patcog.2008.08.014 . 2009PatRe..42..425H . 10.1.1.323.7119 .
• Book: Pietikäinen . M. . Hadid . A. . Zhao . G. . Ahonen . T. . Computer vision using local binary patterns . 2011 . Springer .
• Face spoofing detection from single images using micro-texture analysis. Määttä . J. . Hadid . A. . Pietikäinen . M. . 2011 . Proc. International Joint Conference on Biometrics (IJCB). 1–7.
• Recognising spontaneous facial micro-expressions . Pfister . T. . Li . X. . Zhao . G. . Pietikäinen . M. . 2011 . Proc. IEEE International Conference on Computer Vision (ICCV) . 1449–1456.
• Zhou . Z. . Hong . X.. Zhao . G. . Pietikäinen . M. . 2014 . A compact representation of visual speech data using latent variables . IEEE Transactions on Pattern Analysis and Machine Intelligence . 36 . 1 . 181–187. 10.1109/TPAMI.2013.173 . 24231875 . 18321703 .
• Remote heart rate measurement from face videos under realistic situations. Li . X. . Chen . J. . Zhao . G. . Pietikäinen . M. . 2014 . Proc. IEEE Conference on Pattern Recognition and Computer Vision (CVPR) . 4265–4271.
• Liu . L. . Lao . S. . Fieguth . P. . Guo . Y. . Wang . X. . Pietikäinen . M. . 2016 . Median robust extended local binary pattern for texture classification . IEEE Transactions on Image Processing . 25 . 3 . 1368–1381. 10.1109/TIP.2016.2522378 . 26829791 . 2016ITIP...25.1368L .
• Liu . L. . Fieguth . P. . Guo . Y. . Wang . X. . Pietikäinen . M. . 2017 . Local binary features for texture classification: Taxonomy and experimental study . Pattern Recognition . 62 . 135–160. 10.1016/j.patcog.2016.08.032 . 2017PatRe..62..135L .
• Su . Z. . Zhang . J. . Wang. L. . Zhang . H. . Liu. Z. . Pietikäinen . M. . Liu. L.. 2023 . Lightweight pixel difference networks for visual representation learning. IEEE Transactions on Pattern Analysis and Machine Intelligence . 45 . 7 . 8453–8465. 10.1109/TPAMI.2022.3229689 . 37015427 . 2212.01057 . 254221178 .
• Liu . L. . Fieguth . P. . Guo . Y. . Wang . X. . Pietikäinen . M. . 2017 . Local binary features for texture classification: Taxonomy and experimental study . Pattern Recognition . 62 . 135–160. 10.1016/j.patcog.2016.08.032 . 2017PatRe..62..135L .
• Liu . L. . Ouyang . W. . Wang . X. . Fieguth . P. . Chen . J. . Liu . X. . Pietikäinen . M. . 2020 . Deep learning for generic object detection: A Survey. International Journal of Computer Vision . 128 . 2 . 261–318. 10.1007/s11263-019-01247-4 . 52177403 . free . 1809.02165 .
• Zhao . G. . Li . X. . Li . Y.. Pietikäinen . M. . 2023 . Facial microexpressions: An overview . Proceedings of the IEEE.
• Book: Pietikäinen . M. . Silven . O.. Challenges of artificial intelligence - From machine learning and computer vision to emotional intelligence . 2021 . University of Oulu .
• Book: Pietikäinen . M. . Silven . O.. How will artificial intelligence affect our lives in the 2050s? . 2023 . University of Oulu, jultika.oulu.fi/Record/isbn978-952-62-3687-2.

External links

• Center for Machine Vision and Signal Analysis, University of Oulu
• Local Binary Pattern (LBP) methodology in Scholarpedia

Notes and References

1. Web site: Center for Machine Vision and Signal Analysis. www.oulu.fi.
2. Web site: Infotech Oulu. www.oulu.fi.
3. Web site: Matti Pietikäinen - Google Scholar Citations. scholar.google.fi.
4. http://www.ieee.org/membership_services/membership/fellows/chronology/fellows_2012.html IEEE Fellow Class of 2012
5. Web site: IAPR - IAPR Fellows. www.iapr.org.
6. Web site: IAPR - King-Sun Fu Prize. www.iapr.org.
7. Web site: Highly Cited Researchers. hcr.clarivate.com. 2018-12-14. https://web.archive.org/web/20190220122703/https://hcr.clarivate.com/. 2019-02-20. dead.