Convergent iterative closest-point algorithm to accomodate anisotropic and inhomogenous localization error

Convergent iterative closest-point algorithm to accomodate anisotropic and inhomogenous localization error

Since its introduction in the early 1990s, the Iterative Closest Point (ICP) algorithm has become one of the most well-known methods for geometric alignment of 3D models. Given two roughly aligned shapes represented by two point sets, the algorithm iteratively establishes point correspondences given...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 34(2012), 8 vom: 10. Aug., Seite 1520-32
1. Verfasser: Maier-Hein, Lena (VerfasserIn)
Weitere Verfasser: Franz, Alfred M, dos Santos, Thiago R, Schmidt, Mirko, Fangerau, Markus, Meinzer, Hans-Peter, Fitzpatrick, J Michael
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2012
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't