The utility of 3D landmarks for arbitrary pose face recognition
نویسنده
چکیده
We investigate the utility of 3D facial landmark localisation in addressing the varying pose problem in 3D face recognition. We do not focus on the 3D landmark localisation problem itself, rather, we ask: Given the set of salient landmarks visible at some specific pose, what 3D face recognition performance can we expect, given that statistical training was performed at some other (canonical) pose? We perform standard Eigenface recognition for 3D data over a range of pose variations. Our results indicate that localisation of facial landmarks is useful for pose-unconstrained face recognition although, as expected, recognition performance degrades as rotation away from the canonical training viewpoint increases.
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