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  4. Parametric Registration for Mobile Phone Images
 
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Parametric Registration for Mobile Phone Images

Journal
Proceedings - International Conference on Image Processing, ICIP
Journal Volume
2019-September
ISBN
9781538662496
Date Issued
2019-09-01
Author(s)
Zhang, Xinxin
Gilliam, Christopher
THIERRY BLU  
DOI
10.1109/ICIP.2019.8803769
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/640471
URL
https://api.elsevier.com/content/abstract/scopus_id/85076806805
Abstract
Image registration is a significant step in a wide range of practical applications and it is a fundamental problem in various computer vision tasks. In this paper, we propose a highly accurate and fast parametric registration method for mobile phone photos. The proposed algorithm is based on a fast and accurate elastic registration algorithm, the Local All-Pass (LAP) algorithm, which performs in a coarse-to-fine manner. At each iteration, the LAP displacement field is fitted by a parametric model. Thus the image registration problem is equivalent to finding a few parameters to describe the displacement field. The fitting step can be performed very efficiently by solving a linear system of equations. In terms of the fitting model, it is easy to change the type of models to do the parametric fitting for specific applications. Experimental results on both synthetic and real images demonstrate the high accuracy and computational efficiency of the proposed algorithm.
Subjects
Elastic registration | Image registration | Local All-Pass filters | Parametric fitting | Quadratic polynomial function
Type
conference paper

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