NDLI: Image deformation based on contour using moving integral least squares

Content Provider	IET Digital Library
Author	Yu, Chong Chen, Xi Yin, Lei Shu, Chang Zhao, Li Han, Hua
Abstract	Many effective image deformation methods have been proposed in recent years, but few of them use the contours of objects as the reference of deformation. However, the contour is an important factor, and contour-based deformation can guarantee that the edge of the object after deformation is smoother compared to point-based image deformation. This article presents an image deformation method based on contours using Moving Integral Least Squares (MILS) optimisation. First, the authors set the key points in the image to create control contours as required and then adjust the positions of these points to generate the desired contours. In order to warp these contours to their new positions, the image is deformed using MILS. They derive the affine, similarity, and rigid transformations in a general framework, and users can choose different curves according to their needs. The proposed method possesses two characteristics: (i) it is able to create detail-preserving and intuitive deformations; and (ii) the solution of the deformation function has a simple closed form. They compare their method to the state-of-the-art algorithm, which is modelled by rigid transformation. Experimental results show that their deformation is more vivid.
Starting Page	152
Ending Page	160
Page Count	9
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 1, Jan (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5388
Journal	IET Image Processing
Publisher Date	2018-10-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computational Geometry Computer Vision And Image Processing Technique Contour Control Contours Deformation Deformation Function Desired Contours Effective Image Deformation Method Feature Extraction Image Deformation Method Image Registration Integral Least Squares Optimisation Interpolation And Function Approximation Intuitive Deformations Least Squares Approximation Mathematics Medical Image Processing Numerical Analysis Optical, Image And Video Signal Processing Optimisation SpLine
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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