Evaluation of comparison levels in iterative estimators

Author

de Graaf, A.J. ; Schutte, K.

Author_Institution

Fac. of Electr. Eng., Twente Univ., Enschede, Netherlands

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

759

Lastpage

762

Abstract

In image analysis two stages can be considered, object recognition and object parameter estimation. An initial estimate of the object parameters can be generated in the object recognition stage. The paper is about the second stage. The paper shows the usability of different comparison levels in iterative estimators. The levels of comparison studied are raw pixel data, shape of segments and shape parameters of these segments. It is demonstrated that accuracies as required by vision problems encountered in robot vision can be achieved at the different comparison levels

Keywords

image processing; parameter estimation; accuracies; comparison levels; image analysis; image processing; iterative estimators; object parameter estimation; raw pixel data; robot vision; shape of segments; shape parameters; Data mining; Electric variables measurement; Electrical engineering; Image analysis; Iterative algorithms; Laboratories; Layout; Object recognition; Parameter estimation; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Conference_Location

The Hague

Print_ISBN

0-8186-2920-7

Type

conf

DOI

10.1109/ICPR.1992.202097

Filename

202097