Peittymisongelma konenäön kontekstissa

dc.contributor.advisor	Mönkölä, Sanna
dc.contributor.author	Rautaniemi, Perttu
dc.date.accessioned	2020-01-10T06:59:50Z
dc.date.available	2020-01-10T06:59:50Z
dc.date.issued	2019
dc.identifier.uri	https://jyx.jyu.fi/handle/123456789/67185
dc.description.abstract	The problem of partial and total occlusion effects many different ﬁelds of machine vision implementation, and it has been effectively been solved using different algorithms. Core parts in the solving of this problem are different types of machine vision processors and the successful combining of the	en
dc.format.extent	17
dc.language.iso	fi
dc.rights	In Copyright	en
dc.title	Peittymisongelma konenäön kontekstissa
dc.type	bachelor thesis
dc.identifier.urn	URN:NBN:fi:jyu-202001101117
dc.type.ontasot	Bachelor's thesis	en
dc.type.ontasot	Kandidaatintyö	fi
dc.contributor.tiedekunta	Informaatioteknologian tiedekunta	fi
dc.contributor.tiedekunta	Faculty of Information Technology	en
dc.contributor.laitos	Informaatioteknologia	fi
dc.contributor.laitos	Information Technology	en
dc.contributor.yliopisto	Jyväskylän yliopisto	fi
dc.contributor.yliopisto	University of Jyväskylä	en
dc.contributor.oppiaine	Tietotekniikka	fi
dc.contributor.oppiaine	Mathematical Information Technology	en
dc.type.coar	http://purl.org/coar/resource_type/c_7a1f
dc.rights.accesslevel	openAccess
dc.type.publication	bachelorThesis
dc.contributor.oppiainekoodi	602
dc.subject.yso	konenäkö
dc.subject.yso	algoritmit
dc.subject.yso	hahmontunnistus
dc.rights.url	https://rightsstatements.org/page/InC/1.0/

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