About Machine Vision Group (MVG)

MVG 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 Summer 2021, the staff of CMVS consists of four Professors, one Emeritus Professor, one Associate Professor, three Assistant Professors, 10+ senior or postdoctoral researchers, and 30+ 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.