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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7213| Title: | Conditions for Viewpoint Dependent Face Recognition |
| Keywords: | face recognition RBF Network Symmetry |
| Issue Date: | 9-Oct-2013 |
| Description: | 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. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AIM-1432 CBCL-081 http://hdl.handle.net/1721.1/7213 |
| Appears in Collections: | MIT Items |
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