FACER2VM

Lead by Professor Peter Hancock, this project aims to advance the science of machine face perception and to deliver step change in face matching technology to enable automatic retrieval, recognition, verification and management of faces in images and video. Here at Stirling, we are interested in how human face matching performance compares to that of the state-of-the-art facial recognition algorithm.

Visit the FACER2VM website here

ConFace

Lead by Dr Ailsa Millen and Professor Peter Hancock, the ConFace project aims to develop new ways to detect recognition of familiar faces when people deny recognition of someone they know.

Visit the ConFace website here

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