Return to search

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 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.

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/5979
Date01 April 1992
CreatorsBachelder, Ivan A.
Source SetsM.I.T. Theses and Dissertation
Languageen_US
Detected LanguageEnglish
Format34 p., 2803718 bytes, 2192545 bytes, application/postscript, application/pdf
RelationAIM-1326

Page generated in 0.0023 seconds