Title :
An Analysis of 3-D Parametric Shape Estimators
Author_Institution :
Coll. of Sci., Wuhan Univ. of Sci. & Technol., Wuhan, China
Abstract :
In this paper, we present a statistical analysis of the performance of three dimension parametric shape estimators. By using the Cramer-Rao lower bound(CRLB), we also generate confidence regions which conveniently display the effect of parameters on the quality of the estimated shapes, as well as allow a performance analysis of the algorithms.
Keywords :
matrix algebra; shape measurement; solid modelling; statistical analysis; 3D parametric shape estimator; Cramer-Rao lower bound; estimated shape quality; parameter effect display; performance analysis; statistical analysis; three dimension parametric shape estimator; Brightness; Covariance matrix; Estimation; Image reconstruction; Noise measurement; Shape; Vectors; Cramér-Rao lower bound; Parametric shape estimation; confidence regions;
Conference_Titel :
Internet Computing & Information Services (ICICIS), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-1561-7
DOI :
10.1109/ICICIS.2011.87
