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A Cognitive Vision Platform for Automatic Recognition of Natural Complex Objects
Sacramento, California, USA November 03-November 05
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TAI.2003.125021715th IEEE International Conference on ...
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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.
Index Terms:
Cognitive Vision, Natural Object Recognition, Knowledge Based System
Citation:
C?line Hudelot, Monique Thonnat, "A Cognitive Vision Platform for Automatic Recognition of Natural Complex Objects," ictai, pp.398, 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'03), 2003
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