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Document Type : Latin Dissertation
Language of Document : English
Record Number : 148575
Doc. No : ET20367
Main Entry : Gul~in Caner
Title Proper : Image Registration for Multi-View Image Processing
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : This dissertation addresses the problem of multi-view (multiple camera) image reg-istration in different camera scene configurations and presents two applications of imageregistration: mosaic image construction and super-resolution (SR) image reconstructionfrom multi-view images. In this context, we propose a new adaptive filtering framework forlocal image registration that compensates for the effect of local distortions/displacementswithout explicitly estimating a distortion/displacement field. The proposed approach aimsto register multi-view images in scenarios where the 3-D scene cannot be considered planar,and the accuracy of global parametric image registration techniques proves insufficient. Toaddress the spatially locally varying distortion/displacement field between the multi-viewimages, we formulate the image registration problem as a 2-D system identification prob-lem with spatially varying system parameters and propose to use a 2-D adaptive filtering.
Subject : Electericl tess
: برق
electronic file name : TL43494.pdf
Title and statement of responsibility and : Image Registration for Multi-View Image Processing [Thesis]
 
 
 
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