Image-based Visual Servoing Using Improved Image Moments
Visual servoing has played an important role in automated robotic manufacturing systems, of which there is a challenge on how to choose proper image features to enhance system performances. This paper addresses such a challenge by proposing a method consisting of an ameliorative image pre-processing algorithm and an improved Image Based Visual Servoing (IBVS) using image moments algorithm. Comparing with traditional IBVS, choosing image moment as the image features can efficiently increase the stability of the visual servoing system and extend the applied range of objects. The obtained image features will then be used to generate the control signals for the robot to track the target object. The Jacobian matrix describing the relationship between the motion of camera and velocity of image features is also discussed. In order to decouple the obtained Jacobian matrix for controlling the motion of camera with individual image features, a sequence control strategy is also introduced.
Sining Liu Wen-Fang Xie Chun-Yi Su
Department of Mechanical & In dustrial Engineering Concordia University
国际会议
2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)
珠海、澳门
英文
577-582
2009-06-22（万方平台首次上网日期，不代表论文的发表时间）