Hand-drawn objects recognition
but.event.date | 23.04.2015 | cs |
but.event.title | Student EEICT 2015 | cs |
dc.contributor.author | Křístek, J. | |
dc.date.accessioned | 2015-08-25T08:42:57Z | |
dc.date.available | 2015-08-25T08:42:57Z | |
dc.date.issued | 2015 | cs |
dc.description.abstract | This work deals with recognition of hand-drawn objects traced by children with mental disorders. The aim is to classify object’s geometrical primitives into classes and display them along with the idealized shape of the input object. Level of mental retardation is determined by the variance of the input (drawn) object from idealized shape of the object (artwork). | en |
dc.format | text | cs |
dc.format.extent | 222-224 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings of the 21st Conference STUDENT EEICT 2015. s. 222-224. ISBN 978-80-214-5148-3 | cs |
dc.identifier.isbn | 978-80-214-5148-3 | |
dc.identifier.uri | http://hdl.handle.net/11012/42982 | |
dc.language.iso | cs | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings of the 21st Conference STUDENT EEICT 2015 | en |
dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | Object recognition | en |
dc.subject | hand-drawn objects | en |
dc.subject | feature description methods | en |
dc.title | Hand-drawn objects recognition | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |