Please use this identifier to cite or link to this item:
http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7213Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Schyns, Philippe G. | - |
| dc.creator | Bulthoff, Heinrich H. | - |
| dc.date | 2004-10-20T20:49:58Z | - |
| dc.date | 2004-10-20T20:49:58Z | - |
| dc.date | 1993-08-01 | - |
| dc.date.accessioned | 2013-10-09T02:48:34Z | - |
| dc.date.available | 2013-10-09T02:48:34Z | - |
| dc.date.issued | 2013-10-09 | - |
| dc.identifier | AIM-1432 | - |
| dc.identifier | CBCL-081 | - |
| dc.identifier | http://hdl.handle.net/1721.1/7213 | - |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | - |
| dc.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. | - |
| dc.format | 6 p. | - |
| dc.format | 215801 bytes | - |
| dc.format | 746385 bytes | - |
| dc.format | application/octet-stream | - |
| dc.format | application/pdf | - |
| dc.language | en_US | - |
| dc.relation | AIM-1432 | - |
| dc.relation | CBCL-081 | - |
| dc.subject | face recognition | - |
| dc.subject | RBF Network Symmetry | - |
| dc.title | Conditions for Viewpoint Dependent Face Recognition | - |
| Appears in Collections: | MIT Items | |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.