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Conditions for Viewpoint Dependent Face Recognition

Author(s)
Schyns, Philippe G.; Bulthoff, Heinrich H.
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Abstract
Poggio and Vetter (1992) showed that learning one view of a bilaterally symmetric object could be sufficient for its recognition, if this view allows the computation of a symmetric, "virtual," view. Faces are roughly bilaterally symmetric objects. Learning a side-view--which always has a symmetric view--should allow for better generalization performances than learning the frontal view. Two psychophysical experiments tested these predictions. Stimuli were views of shaded 3D models of laser-scanned faces. The first experiment tested whether a particular view of a face was canonical. The second experiment tested which single views of a face give rise to best generalization performances. The results were compatible with the symmetry hypothesis: Learning a side view allowed better generalization performances than learning the frontal view.
Date issued
1993-08-01
URI
http://hdl.handle.net/1721.1/7213
Other identifiers
AIM-1432
CBCL-081
Series/Report no.
AIM-1432CBCL-081
Keywords
face recognition, RBF Network Symmetry

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