A Modal Approach to Feature-based Correspondence
Author(s) -
Larry S. Shapiro,
J. Michael Brady
Publication year - 1991
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5244/c.5.11
Subject(s) - modal , computer science , feature (linguistics) , artificial intelligence , pattern recognition (psychology) , linguistics , materials science , philosophy , polymer chemistry
We propose a novel method for performing point-feature correspondence based on a modal shape description. Introducing shape information into a low-level matching process allows our algorithm to cope easily with rotations and translations in the image plane, yet still give a dense correspondence. We also show positive results for scale changes and small skews, and demonstrate how reflectional symmetries can be detected.
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