摘要:特征点提取和匹配是移动机器人SLAM最基本的视觉前端步骤,直接决定了SLAM定位和建图的效果。为了验证环境变化对不同特征点提取和匹配率的影响,首先利用RANSAC策略剔除误匹配,然后从光照强度、图像旋转、图像模糊、尺度变化和图像弱纹理因素的角度研究了SIFT、SURF和ORB特征点匹配效果。实验表明,ORB特征点完成图像之间匹配速度最快,对环境变化鲁棒性高,具有良好的运算性能和匹配特性,是一种理想的前端视觉特征点选择。
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