Center for Machine Vision and Signal Analysis (CMVS)

The Center for Machine Vision and Signal Analysis (CMVS) is a creative, open and internationally attractive research center, combining the expertise of University of Oulu computer vision and biosignal analysis scientists. Through expertise spanning decades and extensive international collaboration, CMVS continues to conduct internationally acknowledged work on the cutting edge of its research areas.

Research

The Center for Machine Vision and Signal analysis has achieved ground-breaking research results in many areas of its activity, including texture analysis, facial image analysis, 3D computer vision, energy-efficient architectures for embedded systems, and biomedical engineering. 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 CMVS's current research include affective computing, perceptual interfaces for human-computer interaction, biometrics, augmented reality, and biosignal analysis.

Research groups

The Center for Machine Vision and Signal Analysis is composed of two research groups: Machine Vision Group and Physiological Signal Analysis Group.

Research areas

Publications

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