A Stereo Matching Algorithm for Non-metric Digital Images and the Application

被引：0

作者：

Chang, Jin ^{[1
]}

Li, Hao ^{[1
]}

Wu, Mingfei ^{[1
]}

Yang, Biao ^{[1
]}

机构：

[1] Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Jiangsu, Peoples R China

来源：

CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING, PTS 1-4 | 2014年 / 838-841卷

关键词：

Stereo Matching; Probability Relaxation; Non-metric Digital Image; Close-range Photogrannmetry; Feature Point;

D O I：

10.4028/www.scientific.net/AMR.838-841.2040

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Compared to aerial images, there are more complicated image distortion and occlusion in non-metric digital images in the aspect of close-range photogrammetry, which increase the difficulty of the image matching dramatically. Due to the particularity of non-metric digital images taken in alpine and gorge regions, this paper proposes a probability relaxation matching algorithm with an improved searching strategy. The algorithm integrates the gird points with feature points to determine the initial point matching process and conducts multiple constraints in the respects of epipolar lines and parallax to ensure the continuity and correctness of matching. The experiment shows the algorithm is applicable for the matching of non-metric digital images in alpine and gorge regions, whose stereo matching correctness can reach up to 98% in alpine and gorge regions.

引用

页码：2040 / 2046

页数：7

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