Title :
Evaluation of comparison levels in iterative estimators
Author :
de Graaf, A.J. ; Schutte, K.
Author_Institution :
Fac. of Electr. Eng., Twente Univ., Enschede, Netherlands
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.202097
