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Alternative TitleStereo Matching by Improved Window Characteristics and Differential Operators
李新春1; 殷新勇1; 林森1,2,3
Source Publication激光与光电子学进展
Indexed ByCSCD
Contribution Rank2
Funding Organization国家自然科学基金(61473280,61773367) ; 国家自然科学基金委员会“共融机器人基础理论与关键技术研究”重大研究计划(91648118) ; 辽宁省教育厅科学研究一般项目(L2014132) ; 辽宁省自然科学基金面上项目(2015020100)
Keyword机器视觉 立体匹配 特征信息描述 匹配描述子 水下图像


Other Abstract

ELAS algorithm is a typical traditional matching algorithm with good performance, but the disparity maps of the algorithm has obvious stripes and void regions. To resolve these issues, a stereo matching algorithm is proposed in this paper, which combines the characteristics of matching window with the differentials. By enhancing the descriptor's feature information of the points, the discrimination of similarity measure is provided for the matching points. Firstly, according to the classical adaptive algorithm of color images, a window descriptor adapted to the gray image is proposed spatially. The window feature has a fixed size and shape in the field of the matching points, which avoids repeatedly calculating the matching window in the matching process. Next, according to the characteristics of image signal, the less smoothness differential operator is selected at the pixel level. Then the proposed matching window is combined with the differential operator to obtain a stronger description ability of feature information than either of the two. Lastly, through the objective evaluation of standard benchmark and subjective evaluation of self-collected images show that the proposed algorithm is more robust and has higher matching accuracy, and obviously improves the stripes issues and minimizes void regions in the disparity map.

Citation statistics
Document Type期刊论文
Corresponding Author殷新勇
Recommended Citation
GB/T 7714
李新春,殷新勇,林森. 改进窗口特征及微分算子的立体匹配算法[J]. 激光与光电子学进展,2020,57(8):1-12.
APA 李新春,殷新勇,&林森.(2020).改进窗口特征及微分算子的立体匹配算法.激光与光电子学进展,57(8),1-12.
MLA 李新春,et al."改进窗口特征及微分算子的立体匹配算法".激光与光电子学进展 57.8(2020):1-12.
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