Shape Estimation from Support and Diameter Functions

We address the problem of reconstructing a planar shape from a finite number of noisy measurements of its support function or its diameter function. New linear and non-linear algorithms are proposed, based on the parametrization of the shape by its Extended Gaussian Image. This parametrization facilitates a systematic statistical analysis of the problem via the Cram

• Type: Journal
• Year: 2006
• Where: JMIV
• Authors: Amyn Poonawala, Peyman Milanfar, Richard J. Gardner
• Keywords: Extended Gaussian Image, JMIV 2006, Lower Bound, Systematic Statistical Analysis