Contour Matching Using Local Affine Transformations
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 projec...
| Main Author: | |
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| Language: | en_US |
| Published: |
2004
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| Online Access: | http://hdl.handle.net/1721.1/5979 |
| _version_ | 1811086617039863808 |
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| author | Bachelder, Ivan A. |
| author_facet | Bachelder, Ivan A. |
| author_sort | Bachelder, Ivan A. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:29:05Z |
| id | mit-1721.1/5979 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:29:05Z |
| publishDate | 2004 |
| record_format | dspace |
| spelling | mit-1721.1/59792019-04-10T17:24:32Z Contour Matching Using Local Affine Transformations Bachelder, Ivan A. matching affine transformation optical flow aperturesproblem correspondence 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. 2004-10-04T14:25:18Z 2004-10-04T14:25:18Z 1992-04-01 AIM-1326 http://hdl.handle.net/1721.1/5979 en_US AIM-1326 34 p. 2803718 bytes 2192545 bytes application/postscript application/pdf application/postscript application/pdf |
| spellingShingle | matching affine transformation optical flow aperturesproblem correspondence Bachelder, Ivan A. Contour Matching Using Local Affine Transformations |
| title | Contour Matching Using Local Affine Transformations |
| title_full | Contour Matching Using Local Affine Transformations |
| title_fullStr | Contour Matching Using Local Affine Transformations |
| title_full_unstemmed | Contour Matching Using Local Affine Transformations |
| title_short | Contour Matching Using Local Affine Transformations |
| title_sort | contour matching using local affine transformations |
| topic | matching affine transformation optical flow aperturesproblem correspondence |
| url | http://hdl.handle.net/1721.1/5979 |
| work_keys_str_mv | AT bachelderivana contourmatchingusinglocalaffinetransformations |