基于改进关键帧选择的RGB-D SLAM算法

删除或更新信息，请邮件至freekaoyan#163.com(#换成@)

本站小编 Free考研考试/2024-01-16

-->

李弋星,刘士荣,仲朝亮,王坚.基于改进关键帧选择的RGB-D SLAM算法[J].,2017,57(4):411-417

基于改进关键帧选择的RGB-D SLAM算法

RGB-D SLAM algorithm based on improved key-frame selection

DOI：10.7511/dllgxb201704012

中文关键词:关键帧选择冗余关键帧删除 ORB特征 RGB-D SLAM

英文关键词:key-frames selection redundant key-frames deletion ORB feature RGB-D SLAM

基金项目:国家自然科学基金资助项目(61175093).

作者	单位
李弋星,刘士荣,仲朝亮,王坚

摘要点击次数:1218

全文下载次数:2173

中文摘要:

关键帧选择是提高视觉SLAM(simultaneous localization and mapping)算法精度及实时性的重要因素．关键帧常以图像的帧间相对运动距离为选择依据．该方法虽简单有效，但实时性、鲁棒性较差且容易产生大量冗余关键帧．针对上述问题，提出一种改进的关键帧选择算法．该算法整合了帧间相对运动距离、帧间特征点跟踪以及最小视觉变化来选择关键帧并删除冗余关键帧．基于该算法，结合具有较好方向和光照不变性的ORB(oriented FAST and rotated BRIEF)特征，实现了RGB-D SLAM算法．在RGB-D数据集上的实验表明，改进的关键帧选择算法能够更精准、及时地选择关键帧，并在减少RGB-D SLAM中冗余关键帧的同时提高算法的实时性、建图和定位精度．

英文摘要:

The key-frame selection is an important factor to improve the accuracy and real-time of visual SLAM algorithm. The key-frame selection is often based on the relative motion distance of the images. This method is simple and effective, but with poor real-time and robustness, and is easy to generate a large number of redundant key-frames. Aiming at the above problems, an improved key-frame selection algorithm is proposed. The algorithm incorporates the distance of relative motion of the frames, the feature points tracking and the minimum visual change to select a key-frame and delete the redundant key-frames. Based on this algorithm, combined the ORB (oriented FAST and rotated BRIEF) features with better direction and illumination invariant, the RGB-D SLAM algorithm is implemented. Experiments on RGB-D datasets indicate that the improved key-frame selection algorithm can be more accurate, timely in selecting key-frames, and improve the real-time and the accuracy of mapping and localization while reduce the redundant key-frames.

查看全文查看/发表评论下载PDF阅读器

关闭

基于改进关键帧选择的RGB-D SLAM算法

本站小编 Free考研考试/2024-01-16

相关话题/

领限时大额优惠券,享本站正版考研考试资料!