Algorithms for Objects' Shape Recognition and Measurement Before Gripping

dc.contributor.author	Srarețu, Ionel
dc.contributor.author	Itu, Alexandru
dc.date.accessioned	2017-10-16T10:02:08Z
dc.date.available	2017-10-16T10:02:08Z
dc.date.issued	2011
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/4523
dc.description	The Annals of ''Dunarea de Jos'' University of Galati : Fascicle XIV : MECHANICAL ENGINEERING, ISSN 1224 - 5615	ro_RO
dc.description.abstract	The paper proposes an algorithmic methodology to solve a necessary first step, namely visualization, recognition and measurement of objects, for gripping, in particular by means of anthropomorphic grippers for robots. For object shape recognition, Haar classifiers, and an Open CV library use are proposed. Based on measurement of the distance between the initial point and a second intermediate point, you can do calculations, aimed at object size, and distance remaining to the target. Thus, the algorithmic method for visualization, recognition, and measurement of objects for anthropomorphic gripping, is based on a number of existing software modules. They have been adapted for the intended purpose, and specially designed software modules were added.	ro_RO
dc.language.iso	en	ro_RO
dc.publisher	Universitatea "Dunărea de Jos" din Galați	ro_RO
dc.subject	image processing	ro_RO
dc.subject	Haar identifier	ro_RO
dc.subject	shape recognition	ro_RO
dc.subject	size measurement	ro_RO
dc.title	Algorithms for Objects' Shape Recognition and Measurement Before Gripping	ro_RO
dc.type	Article	ro_RO