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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1721.1/5979
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| Title: | Contour Matching Using Local Affine Transformations |
| Authors: | Bachelder, Ivan A. |
| Keywords: | matching
affine transformation
optical flow
aperturesproblem
correspondence |
| Issue Date: | 1-Apr-1992 |
| Series/Report no.: | AIM-1326 |
| 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. |
| URI: | http://hdl.handle.net/1721.1/5979 |
| Appears in Collections: | AI Memos (1959 - 2004)
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Files in This Item:
| File |
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Size | Format |
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| AIM-1326.ps | | 2738Kb | PostScript | View/Open | | AIM-1326.pdf | | 2141Kb | Adobe PDF | View/Open |
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