Fitting undeformed superquadrics to range data: improving model recovery and classification

Undeformed superquadrics are volumetric modeling primitives with an extensive shape vocabulary that are described by only 5 parameters. Fitting these models viewpoint invariantly to range data enables classification based on the superquadric parameters. However, current recovery routines show severa...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Van Dop, E.R., Regtien, P.P.L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Deformable models Engine cylinders Gaussian noise Image segmentation Iterative algorithms Maximum likelihood estimation Object recognition Robustness Shape Vocabulary
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