Dense Stereo Matching Strategy for Oblique Images That Considers the Plane Directions in Urban Areas

Dense Stereo Matching Strategy for Oblique Images That Considers the Plane Directions in Urban Areas
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考虑城市区域平面方向的倾斜图像密集立体匹配策略

DOI:
10.1109/tgrs.2020.2972312
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发表时间:
2020-02
影响因子:
8.2
通讯作者:
Wang Renli
Wang Renli
中科院分区:
工程技术1区
文献类型:
--
作者:
Liu Jianchen;Zhang Linjing;Wang Zhen;Wang Renli

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倾斜图像的透视畸变对密集匹配有很大的影响,即降低了匹配精度。本文提出了一种考虑目标平面方向的密集匹配策略。根据城市地区的许多规则平面,可以生成相对于所选参考平面的最小畸变的极面整流。将极极图像相对于各参考平面的匹配结果加权融合成单一深度图,得到较好的匹配结果。实验结果表明,透视畸变对密集匹配性能有很大影响。水平物体平面度的均方根误差(RMSE)增加了约30%,垂直物体平面度的均方根误差(RMSE)增加了约40%。因此,本文提出的考虑目标平面的匹配策略可以有效地改善匹配效果。
The perspective distortion of oblique images has a substantial impact on dense matching, i.e., it reduces the matching precision. In this article, a strategy of dense matching in which the object plane direction is considered is proposed. According to many regular planes in urban areas, epipolar rectification with minimum distortions relative to the selected reference planes can be generated. The matching results of epipolar images relative to various reference planes are weighted and fused into a single depth map, which is a better matching result. The experimental results demonstrate that the perspective distortion has a substantial influence on the dense matching performance. The root-mean-square error (RMSE) of the flatness for horizontal objects is increased by approximately 30%, and the RMSE of the flatness for façades is increased by approximately 40%. Hence, the proposed matching strategy, in which the object plane is considered, can effectively improve the matching results.
DOI: 10.1109/cvpr.2004.220
发表时间: 2004-07
期刊: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.
影响因子: --
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