| dc.creator |
Subirana-Vilanova, J. Brian |
|
| dc.date |
2004-10-20T19:55:13Z |
|
| dc.date |
2004-10-20T19:55:13Z |
|
| dc.date |
1995-04-01 |
|
| dc.date.accessioned |
2013-10-09T02:46:56Z |
|
| dc.date.available |
2013-10-09T02:46:56Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
AITR-1442 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/6792 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
We address mid-level vision for the recognition of non-rigid objects. We align model and image using frame curves - which are object or "figure/ground" skeletons. Frame curves are computed, without discontinuities, using Curved Inertia Frames, a provably global scheme implemented on the Connection Machine, based on: non-cartisean networks; a definition of curved axis of inertia; and a ridge detector. I present evidence against frame alignment in human perception. This suggests: frame curves have a role in figure/ground segregation and in fuzzy boundaries; their outside/near/top/ incoming regions are more salient; and that perception begins by setting a reference frame (prior to early vision), and proceeds by processing convex structures. |
|
| dc.format |
239 p. |
|
| dc.format |
48192029 bytes |
|
| dc.format |
2356367 bytes |
|
| dc.format |
application/postscript |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.relation |
AITR-1442 |
|
| dc.subject |
vision |
|
| dc.title |
Mid-Level Vision and Recognition of Non-Rigid Objects |
|