أعرض تسجيلة المادة بشكل مبسط
| dc.creator |
Buelthoff, Heinrich H. |
|
| dc.creator |
Edelman, Shimon Y. |
|
| dc.creator |
Tarr, Michael J. |
|
| dc.date |
2004-10-20T20:49:45Z |
|
| dc.date |
2004-10-20T20:49:45Z |
|
| dc.date |
1994-04-01 |
|
| dc.date.accessioned |
2013-10-09T02:48:33Z |
|
| dc.date.available |
2013-10-09T02:48:33Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
AIM-1479 |
|
| dc.identifier |
CBCL-096 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/7204 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
We discuss a variety of object recognition experiments in which human subjects were presented with realistically rendered images of computer-generated three-dimensional objects, with tight control over stimulus shape, surface properties, illumination, and viewpoint, as well as subjects' prior exposure to the stimulus objects. In all experiments recognition performance was: (1) consistently viewpoint dependent; (2) only partially aided by binocular stereo and other depth information, (3) specific to viewpoints that were familiar; (4) systematically disrupted by rotation in depth more than by deforming the two-dimensional images of the stimuli. These results are consistent with recently advanced computational theories of recognition based on view interpolation. |
|
| dc.format |
19 p. |
|
| dc.format |
509767 bytes |
|
| dc.format |
1124249 bytes |
|
| dc.format |
application/octet-stream |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
AIM-1479 |
|
| dc.relation |
CBCL-096 |
|
| dc.subject |
object recognition |
|
| dc.subject |
image-based recognition |
|
| dc.subject |
objectsrepresentation |
|
| dc.subject |
feature recognition |
|
| dc.subject |
memory-based models |
|
| dc.subject |
humanspsychophysics |
|
| dc.title |
How are Three-Deminsional Objects Represented in the Brain? |
|
الملفات في هذه المادة
|
لا توجد أي ملفات مرتبطة بهذه المادة.
|
هذه المادة تبدو في المجموعات التالية:
أعرض تسجيلة المادة بشكل مبسط