基于ORB和RANSAC的无人机航拍图像视觉里程测量与运动目标定位

R. A. Reboucas, Quenaz da Cruz Eller, Mateus Habermann, Elcio Hideiti Shiguemori
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引用次数: 2

摘要

本文研究了航拍图像中运动目标的视觉里程测量和定位问题。在这项工作中使用的技术是定向快速和旋转简短(ORB)描述子来检测和提取兴趣点,随机样本共识(RANSAC)方法从匹配点矩阵中估计参数以找到摄像机平移。通过视觉里程计和形态学操作来指出运动物体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual Odometry and Moving Objects Localization Using ORB and RANSAC in Aerial Images Acquired by Unmanned Aerial Vehicles
In this paper the visual odometry and the localization of moving objects from aerial images are addressed. The techniques used in this work are the Oriented FAST and Rotated BRIEF (ORB) descriptor to detect and extract the interest points and the Random Sample Consensus (RANSAC) method to estimate the parameters from a matched points matrix for finding the camera translation. The visual odometry and morphological operations to point out moving objects have been performed.
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