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2004 | OriginalPaper | Buchkapitel

A Correlation-Based Approach to Robust Point Set Registration

verfasst von : Yanghai Tsin, Takeo Kanade

Erschienen in: Computer Vision - ECCV 2004

Verlag: Springer Berlin Heidelberg

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Correlation is a very effective way to align intensity images. We extend the correlation technique to point set registration using a method we call kernel correlation. Kernel correlation is an affinity measure, and it is also a function of the point set entropy. We define the point set registration problem as finding the maximum kernel correlation configuration of the the two point sets to be registered. The new registration method has intuitive interpretations, simple to implement algorithm and easy to prove convergence property. Our method shows favorable performance when compared with the iterative closest point (ICP) and EM-ICP methods.

Metadaten
Titel
A Correlation-Based Approach to Robust Point Set Registration
verfasst von
Yanghai Tsin
Takeo Kanade
Copyright-Jahr
2004
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-540-24672-5_44