Feature based 2D image registration using mean shift parameter estimation [articol]

Fuiorea-Bulucea, Daniela; Pescaru, Dan Alexandru; Gui, Vasile; Toma, Corneliu I.

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dc.contributor.author	Fuiorea-Bulucea, Daniela
dc.contributor.author	Pescaru, Dan Alexandru
dc.contributor.author	Gui, Vasile
dc.contributor.author	Toma, Corneliu I.
dc.date.accessioned	2020-04-10T10:52:44Z
dc.date.accessioned	2021-03-01T08:40:26Z
dc.date.available	2020-04-10T10:52:44Z
dc.date.available	2021-03-01T08:40:26Z
dc.date.issued	2006
dc.identifier.citation	Fuiorea-Bulucea, Daniela. Feature based 2D image registration using mean shift parameter estimation. Timişoara: Editura Politehnica, 2006	en_US
dc.identifier.uri	http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Feature%20based%202D%20image%20registration%20using%20mean%20shift%20parameter%20estimation&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract	A new method of feature based 2D image robust registration is proposed. The image distortion is modeled as a similarity transform with four parameters, estimated sequentially by 1D transforms, resulting in an increased sample density as compared to 4D space processing. By adopting a mean shift estimator, advantages of RANSAC and M-estimators can be combined within a single and sound theoretical framework. Experimental results confirm the validity of the proposed approach.	en_US
dc.language.iso	en	en_US
dc.publisher	Timişoara: Editura Politehnica	en_US
dc.relation.ispartofseries	Seria electronică şi telecomunicaţii, Tom 51(65), fasc. 2 (2006)
dc.subject	Image registration	en_US
dc.subject	Robust estimation	en_US
dc.subject	Mean shift	en_US
dc.subject	Similarity transform	en_US
dc.title	Feature based 2D image registration using mean shift parameter estimation [articol]	en_US
dc.type	Article	en_US