NDLI: A Method of Non-textured Regions Matching

Content Provider	IET Digital Library
Author	Jia, Di Zhao, Mingyuan Cao, Jun Song, Weidong
Abstract	It is difficult for existing dense or quasidense matching algorithms to obtain accurate matching results due to the lack of effective feature information in non-textured regions. This may affect the quality of subsequent 3D reconstruction and super-resolution reconstruction. We propose a method of non-textured regions matching. To reduce the impact of noise and illumination, vector sampling normalized cross correlation is proposed to directly measure coherence between two colour images by the effective information of multi-channel features. Three mathematical properties are used in affine transformation: 1) Centroid location is not affected by affine transformation; 2) Affine transformation transforms a straight line into another straight line; 3) Affine transformation maintains the linear relation invariant. In non-textured regions, we can construct texture regions which have affine invariant properties to improve the accuracy of template matching. This could provide more information for the diffusion of dense or quasi-dense matching. In experiments, we demonstrate that the method has high accuracy in cases where there is no big distortion between the two viewing angles from two aspects of simulated images and photographic images.
Starting Page	598
Ending Page	603
Page Count	6
ISSN	10224653
Volume Number	28
e-ISSN	20755597
Issue Number	Issue 3, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/28/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2019.02.008
Journal	Chinese Journal of Electronics
Publisher Date	2019-05-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	3D Reconstruction Affine Transformation Affine Transforms Computer Vision And Image Processing Technique Feature Extraction Feature Information Image Matching Image Recognition Image Reconstruction Image Resolution Image Texture Integral Transforms in Numerical Analysis Nontextured Region Photographic Image Quasidense Matching Algorithm Stereo Image Processing Super-resolution Reconstruction Template Matching Vector Sampling Normalized Cross Correlation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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