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A Method of Non-textured Regions Matching

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  • NETL
  • NSTL
  • 万方数据
  • 维普
It is difflcult for existing dense or quasi-dense 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.

Stereo matchingDense matchingNon-textured regionAffine transformation

JIA Di、ZHAO Mingyuan、CAO Jun、SONG Weidong

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School of Electronic and Information Engineering, Liaoning Technical University, Huludao 125105, China

School of Computing, Informatics, Decision System Engineering, Arizona State University, Tempe 85281, USA

School of Geomatics, Liaoning Technical University, Fuxin 123000, China

National Natural Science Foundation of ChinaPostdoctoral Research Foundation of ChinaLiaoning Provincial Education Department Project(China)

616012132017M611252LR2016045

2019

10.1049/cje.2019.02.008

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(3)
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