One method of structural description rule extraction based on graphical and spatial relations

Author

Satoh, Shin´ichi ; Satou, Takashi ; Sakauchi, Masao

Author_Institution

Inst. of Ind. Sci., Tokyo Univ., Japan

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

281

Lastpage

284

Abstract

Recently, multi-purpose and generalized image/pattern recognition methods are required. To achieve this, it is desired to realize an automated recognition rule generation system. In this paper, a learning system of structural description rules which are used as models for the model based vision is presented. This system can generate structural description rules efficiently using partially structured example figure descriptions, and a proper inductive inference algorithm for generating structural description rules

Keywords

computer vision; image recognition; knowledge based systems; learning systems; spatial reasoning; automated recognition rule generation system; computer vision; image understanding; inductive inference; learning system; model based vision; pattern recognition; spatial relations; structural description rule extraction; Data structures; Engines; Industrial relations; Inference algorithms; Learning systems; Pattern recognition; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on

Conference_Location

The Hague

Print_ISBN

0-8186-2915-0

Type

conf

DOI

10.1109/ICPR.1992.201773

Filename

201773