Centre for Vision, Speech and Signal Processing (CVSSP)

The Centre for Vision, Speech and Signal Processing (CVSSP) is an internationally recognised leader in audio-visual machine perception research. With a diverse community of more than 120 researchers, CVSSP is one of the largest audio and vision research groups in the UK. Our research in the Centre has led to award-winning spin-out companies in the biometric, communication, medical and creative industries.

Research

Research portfolio of £18.5m current awards from EPSRC, InnovateUK, EU, industry and charities.

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Expertise

Our core expertise includes signal, image and video processing, pattern recognition, computer vision and graphics, machine learning, artificial intelligence, medical image analysis and human computer interaction.

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Applications

CVSSP has an internationally outstanding track-record of pioneering research leading to new technologies including:

  • Facial recognition for security
  • Medical Image analysis for cancer detection
  • Immersive spatial audio for entertainment
  • 3D video reconstruction for visual effects in film, TV, games and VR
  • Robots capable of safe interaction with people
  • Audio-visual data search and understanding

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PhD Studentship: MACHINE LEARNING FOR FACE RECOGNITION

A fully-funded PhD Studentship is available for a UK or EU student to join the flagship FACER2VM project funded by EPSRC.

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News and features

Press release

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. 

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Press release

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. 

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Feature

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.

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