| dc.contributor.author |
Bachelder, Ivan A. |
en_US |
| dc.date.accessioned |
2004-10-04T14:25:18Z |
|
| dc.date.available |
2004-10-04T14:25:18Z |
|
| dc.date.issued |
1992-04-01 |
en_US |
| dc.identifier.other |
AIM-1326 |
en_US |
| dc.identifier.uri |
http://hdl.handle.net/1721.1/5979 |
|
| dc.description.abstract |
Partial constraints are often available in visual processing tasks requiring the matching of contours in two images. We propose a non- iterative scheme to determine contour matches using locally affine transformations. The method assumes that contours are approximated by the orthographic projection of planar patches within oriented neighborhoods of varying size. For degenerate cases, a minimal matching solution is chosen closest to the minimal pure translation. Performance on noisy synthetic and natural contour imagery is reported. |
en_US |
| dc.description.provenance |
Made available in DSpace on 2004-10-04T14:25:18Z (GMT). No. of bitstreams: 2
AIM-1326.ps: 2803718 bytes, checksum: 26c0317328b7e69f48c13a4c765ece6c (MD5)
AIM-1326.pdf: 2192545 bytes, checksum: eaf60aa02db3d06dda41fc8855606fbc (MD5)
Previous issue date: 1992-04-01 |
en |
| dc.format.extent |
34 p. |
en_US |
| dc.format.extent |
2803718 bytes |
|
| dc.format.extent |
2192545 bytes |
|
| dc.format.mimetype |
application/postscript |
|
| dc.format.mimetype |
application/pdf |
|
| dc.language.iso |
en_US |
|
| dc.relation.ispartofseries |
AIM-1326 |
en_US |
| dc.subject |
matching |
en_US |
| dc.subject |
affine transformation |
en_US |
| dc.subject |
optical flow |
en_US |
| dc.subject |
aperturesproblem |
en_US |
| dc.subject |
correspondence |
en_US |
| dc.title |
Contour Matching Using Local Affine Transformations |
en_US |
