<<HTML(<a href="#" onclick="history.back(); return false;">Back</a>)>>
<<HTML(<link rel="shortcut icon" href="http://www.ee.oulu.fi/research/tklab/favicon.ico">)>>
Matti Pietikäinen received the Doctor of Science in Technology degree from the University of Oulu, Finland, in 1982. In 1981, he established the Machine Vision Group at the University of Oulu, Finland. Currently, he is professor of computer science and engineering, scientific director of Infotech Oulu Research Center, and director of the Center for Machine Vision Research at the University of Oulu. From 1980 to 1981 and from 1984 to 1985 he was with the Computer Vision Laboratory at the University of Maryland. He has made pioneering contributions e.g. to local binary pattern (LBP) methodology, texture-based image and video analysis, and facial image analysis. He has authored over 300 refereed papers in international journals, books and conference proceedings, and about 100 other publications or reports. He is an author of the book entitled Computer Vision Using Local Binary Patterns published by Springer in 2011. His research is frequently cited and its results are used in various applications around the world. He was an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition journals, and currently serves as an associate editor of Image and Vision Computing and IEEE Transactions on Forensics and Security journals. He was the president of the Pattern Recognition Society of Finland from 1989 to 1992. From 1989 to 2007 he served as a member of the Governing Board of the International Association for Pattern Recognition (IAPR), and became one of the founding fellows of the IAPR in 1994. From 2012 he is an IEEE Fellow, for his contributions to texture and facial image analysis for machine vision. He regularly serves on program committees of the top conferences and workshops of his field. He has lectured tutorials on texture-based image and video descriptors at SCIA 2005, ICPR 2006, ICCV 2009, CVPR 2011, ICIP 2011, ENC 2012, and SCIA 2013 conferences. In 2014, he was awarded the Koenderink Prize for Fundamental Contributions in Computer Vision.