Laser & Optoelectronics Progress, Volume. 56, Issue 21, 211507(2019)
Optimization of Visual Odometry Algorithm Based on ORB Feature
Robot movement cannot be accurately estimated because of the impact of moving objects in a dynamic environment. Therefore, this study proposes a visual odometry algorithm based on ORB (Oriented FAST and Rotated BRIEF) feature regional segmentation. Further, using the distance invariance of the feature points in the adjacent regions in a three-dimensional space, the extracted feature points are segmented and the feature points generated by the moving objects in the image are separated from the feature points in the static background, and influences of dynamic object feature points are removed. Subsequently, the position of the camera can be estimated, thereby removing the interference caused by the dynamic objects in a scene. The experimental results show that the visual odometry algorithm based on ORB feature regional segmentation can perform real-time pose estimation in both dynamic and static environments with good robustness and high precision.
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Fuchun Lin, Yuhong Liu, Jinfan Zhou, Zhinan Ma, Qianqian He, Manman Wang, Rongfen Zhang. Optimization of Visual Odometry Algorithm Based on ORB Feature[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211507
Category: Machine Vision
Received: Apr. 3, 2019
Accepted: May. 6, 2019
Published Online: Nov. 2, 2019
The Author Email: Zhang Rongfen (rfzhang@gzu.edu.cn)