Machine Vision Group
Research group information
Research group leader
Research group description
The group has achieved ground-breaking research results in many areas of its activity, including texture analysis, facial image analysis, 3D computer vision, and energy-efficient architectures for embedded systems. Among the highlights of its research are the Local Binary Pattern (LBP) methodology, LBP-based face descriptors, and methods for geometric camera calibration, which all are highly-cited and widely used around the world. The areas of application for MVG's current research include affective computing, perceptual interfaces for human-computer interaction, biometrics, augmented reality, and biomedical image analysis. The MVG has a wide international collaboration network to support its research mobility.
In spring 2016, the staff of MVG consists of three Professors, one Associate Professor, two FiDiPro Professors and one FiDiPro Fellow, 15 senior or postdoctoral researchers, and 16 doctoral students or research assistants. We have also visiting scholars coming with their own funding. The unit is highly international: over 50% of our researchers (doctors, PhD students) come from abroad. MVG has an extensive international collaboration network in Europe, China, Japan, Australia, and the USA. Both outgoing and incoming mobility of researchers is intense to/from leading research groups abroad. In 2015, MVG participated in two European COST actions.
The Center for Machine Vision Research (CMV) of the University of Oulu was established 40 years ago when Matti Pietikäinen returned from his research visit to University of Maryland, USA, at the end of October, 1981.
More information about the group's history can be found in the 25 year anniversary book published in 2006.