Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/1551
Title: Feature based 2D image registration using mean shift parameter estimation [articol]
Authors: Fuiorea-Bulucea, Daniela
Pescaru, Dan Alexandru
Gui, Vasile
Toma, Corneliu I.
Subjects: Image registration
Robust estimation
Mean shift
Similarity transform
Issue Date: 2006
Publisher: Timişoara: Editura Politehnica
Citation: Fuiorea-Bulucea, Daniela. Feature based 2D image registration using mean shift parameter estimation. Timişoara: Editura Politehnica, 2006
Series/Report no.: Seria electronică şi telecomunicaţii, Tom 51(65), fasc. 2 (2006)
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.
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
Appears in Collections:Articole științifice/Scientific articles

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