A cognitive vision platform for automatic recognition of natural complex objects

Author

Hudelot, Céline ; Thonnat, Monique

Author_Institution

INRIA, France

fYear

2003

fDate

3-5 Nov. 2003

Firstpage

398

Lastpage

405

Abstract

This paper presents a generic cognitive vision platform for the automatic recognition of natural complex objects. The recognition consists of three steps : image processing for numerical object description, mapping of numerical data into symbolic data and semantic interpretation for object recognition. The focus of this paper is the distributed platform architecture composed of three highly specialized knowledge based systems (KBS). The first KBS is dedicated to semantic interpretation. The second one has to deal with the anchoring of symbolic data into image data. The last KBS is dedicated to intelligent image processing. After a brief overview of the natural object recognition problem, this paper describes the three subcomponents of the platform.

Keywords

computer vision; knowledge based systems; medical computing; object recognition; KBS; automatic recognition; cognitive vision platform; distributed platform architecture; intelligent image processing; knowledge based system; natural complex objects; natural object recognition problem; numerical data mapping; numerical object description; semantic interpretation; symbolic data; Artificial intelligence; Computer architecture; Computer vision; Diseases; Fungi; Image processing; Image recognition; Knowledge based systems; Layout; Object recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE International Conference on

ISSN

1082-3409

Print_ISBN

0-7695-2038-3

Type

conf

DOI

10.1109/TAI.2003.1250217

Filename

1250217