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BMVC
1998

Learning to Associate Faces across Views in Vector Space of Similarities to Prototypes

9 years 2 months ago
Learning to Associate Faces across Views in Vector Space of Similarities to Prototypes
We present a method for learning appearance models that can be used to recognise and track both 3D head pose and identities of novel subjects with continuous head movement across the view-sphere. We describe an automatic face data acquisition system based on a magnetic sensor and a calibrated camera. The system enabled us to obtain systematically a database of face images with labelled 3D poses across a view-sphere of
Shaogang Gong, Eng-Jon Ong, Stephen J. McKenna
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1998
Where BMVC
Authors Shaogang Gong, Eng-Jon Ong, Stephen J. McKenna
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