Centre for Vision, Speech and Signal Processing (CVSSP)

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Surrey reveal cutting-edge motion capture technology that could transform creative industries

The University of Surrey has unveiled state-of-the-art but “low-cost”, full body motion capture (mocap) technology that could transform the film and video-game industry. 

Multi-racial facial recognition system provides more accurate results

A multi-racial facial recognition system delivers more accurate results than those typically used today, a study published in Pattern Recognition journal has revealed. 

The University of Surrey to help BBC break new media ground

The Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey has joined forces with the BBC to take part in a major five-year research partnership that will help the corporation create better content for its audience. 

Research Fellow wins top biometrics industry award

Dr Zhenhua Feng has won the European Association for Biometrics Industry Award 2017 for his development of an algorithm which enables facial landmark detection in ‘uncontstrained’ situations.

CVSSP wins Google-sponsored ‘audio-tagging’ challenge

Advanced signal processing systems developed at Surrey, which can recognise sounds within everyday environments, have won first prize in the DCASE 2017 challenge.

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