A numeric-symbolic expert system for 2-D and 3-D object recognition in robotic applications

Tzafestas, S; Kechriotis, G

dc.contributor.author	Tzafestas, S	en
dc.contributor.author	Kechriotis, G	en
dc.date.accessioned	2014-03-01T01:07:47Z
dc.date.available	2014-03-01T01:07:47Z
dc.date.issued	1990	en
dc.identifier.issn	0378-4754	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10163
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-44949289611&partnerID=40&md5=d8f1530cf5a8d622bc6e6b0b56f1c2d3	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.classification	Mathematics, Applied	en
dc.title	A numeric-symbolic expert system for 2-D and 3-D object recognition in robotic applications	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1990	en
heal.abstract	In this paper an expert system for 2-D and 3-D object recognition combining numeric and symbolic representations is presented. Starting with some basic concepts, a new method for the boundary representation on 2-D objects is given, and then a method for 3-D object recognition is provided which is based on images of the object. Included in the system is a module that implements an algorithm for learning physical descriptions from functional definitions, examples and precedents, and an inference module for reasoning under uncertainty using Naylor's rule value technique. The expert system involves both numeric modules (written in Pascal) and symbolic modules (written in Prolog). The Pascal and Prolog modules communicate through a special program that plays the role of an adaptive interface between them. Some representative examples are provided. © 1990.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Mathematics and Computers in Simulation	en
dc.identifier.isi	ISI:A1990EH24000007	en
dc.identifier.volume	32	en
dc.identifier.issue	4	en
dc.identifier.spage	403	en
dc.identifier.epage	418	en