Feature-based correspondence: an eigenvector approach

We propose a novel method for performing point.feature correspondence based on a modal shape description. Introducing shape information into a low-level matching proc’ess allows our algorithm to cope easily with rotutions and translutions 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.