光学学报, 2020, 40 (6): 0612001, 网络出版: 2020-03-06   

全息编码靶标及图像逆投影校正匹配 下载: 1111次

Holographic Coding Target and Image Backprojection Correction Matching
作者单位
西安理工大学机械与精密仪器工程学院, 陕西 西安 710048
摘要
设计一种具有全息特性的平面编码靶标,该编码靶标利用局部编码获得该部分在靶标上的位置及靶标整体状态,可应用于位姿测量,提高了测量范围和测量精度。针对编码靶标的解码和匹配问题,提出基于靶标图像逆投影校正和相关匹配的解码算法,采用透视变换,将靶标图像重建到三维空间中,对其进行旋转校正后再投影到原像面中。改进了相关匹配算法,改进后只需搜寻编码靶标上的标志点,匹配效率得到提高。实验结果表明,所提解码匹配方法具有很好的匹配效果和匹配效率。图像逆投影校正方法可应用于摄影测量中的编码靶标解码匹配,不受编码规则限制,可有效提高解码正确率。
Abstract
This paper reports the design of a planar coding target with holographic property. The local code of the coding target can be used to determine the position of the imaging portion on the target and the overall state of the target. The target can be used for pose measurement and can improve the measurement range and measurement accuracy. To solve the decoding and matching problem of the coding target, a decoding algorithm based on target image backprojection correction and correlation matching is proposed. In this algorithm, the target image is reconstructed in three-dimensional space by perspective transformation. Subsequently, it is rotated and corrected in the three-dimensional space, and then projected back onto the original image surface. Improving the correlation matching algorithm, only the marker points on the coding target are considered, greatly improving the matching efficiency. The proposed decoding and matching method demonstrate good matching effect and high matching efficiency in experiments. The image backprojection correction method can also be applied in photogrammetry for coding target decoding and matching. This method is not limited by encoding rules and can effectively improve the decoding accuracy rate.

赵敏, 张宇帆, 张琪. 全息编码靶标及图像逆投影校正匹配[J]. 光学学报, 2020, 40(6): 0612001. Min Zhao, Yufan Zhang, Qi Zhang. Holographic Coding Target and Image Backprojection Correction Matching[J]. Acta Optica Sinica, 2020, 40(6): 0612001.

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