Qualitative distances and qualitative description of images for indoor scene description and recognition in robotics

dc.contributor.author	Falomir, Zoe
dc.date.accessioned	2013-04-30T11:28:02Z
dc.date.available	2013-04-30T11:28:02Z
dc.date.issued	2012-09
dc.identifier.uri	http://hdl.handle.net/10234/62468
dc.description.abstract	This thesis is focused on reducing the gap between the acquisition of low level information by robot sensors and the need of obtaining high level information for enhancing human-machine communication and for applying logical reasoning processes. To this end, approaches for qualitative and semantic image description and qualitative distance sensor interpretation were developed. Experimentation was carried out on di↵erent robotic platforms showing useful applications.	ca_CA
dc.format.extent	3 p.	ca_CA
dc.format.mimetype	application/pdf	ca_CA
dc.language.iso	eng	ca_CA
dc.publisher	IOS Press	ca_CA
dc.relation.isPartOf	AI Communications, v. 24 , n. 4 (2012)	ca_CA
dc.rights.uri	http://rightsstatements.org/vocab/CNE/1.0/	*
dc.subject	Sensor data integration, Fuzzy set theory, Qualitative representation, Image understanding, Ontology, Description Logics, Similarity, Robotics	ca_CA
dc.title	Qualitative distances and qualitative description of images for indoor scene description and recognition in robotics	ca_CA
dc.type	info:eu-repo/semantics/article	ca_CA
dc.identifier.doi	http://dx.doi.org/10.3233/AIC-2012-0535
dc.rights.accessRights	info:eu-repo/semantics/openAccess	ca_CA