一种非迭代的位姿估计方法
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吉林省科技发展计划资助青年基金项目(No.20160520018JH);吉林省重点科技攻关项目(No.20170204048GX)资助


A new method for pose estimation without iteration
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    摘要:

    针对深度相机运动中的位姿估计问题,提出了一种无需迭代的估计方法。首先,在二维图像上应用图像特征点提取和描述方法,完成不同视点的初始匹配。其次,选择初始匹配度量距离最小的2个特征点作为种子点。以三维空间中欧式距离与坐标系的建立无关为准则,对初始匹配进行筛选。剔除误匹配点对,进而计算运动位姿参数。最后,采用nyuv2图像数据库进行实验,验证了本文算法的可行性和正确性。实验结果表明:与传统算法相比,该方法计算效率平均提高了8倍以上,特别适用于大型场景中的同步定位和地图构建SLAM(Simultaneous Localization and Mapping)问题。

    Abstract:

    Aiming at the problem of estimating the motion parameters of depth camera,a new estimation method without iteration is proposed. Firstly,the initial match of different viewpoints is completed according to extraction and description method of the image feature points. Secondly,the two feature points with smallest distance from the initial matching are selected as seed points. Based on the independence of Euclidean distance and coordinate system in 3D space,the initial match is filtered to eliminate the mismatch points. Then,the motion parameters are calculated. Finally,in order to verify the feasibility and correctness of the proposed algorithm,experiments are carried out in the open database nyuv2. The results show that the proposed method can improve the computational efficiency by 8 times or more compared with the traditional algorithm,and it is especially suitable for large scale SLAM.

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张一铭,吕耀文,徐熙平,吕梦凌,钟文婷.一种非迭代的位姿估计方法[J].激光与红外,2018,48(5):638~643
ZHANG Yi-ming, Lü Yao-wen, XU Xi-ping, Lü Meng-ling, ZHONG Wen-ting. A new method for pose estimation without iteration[J]. LASER & INFRARED,2018,48(5):638~643

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  • 在线发布日期: 2018-05-29
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