A ROBUST MULTISCALE ALGORITHM FOR MOTION MEASUREMENT WITH HIGH ACCURACY

摘要：

The computer micro-vision technique plays a vital role in many existing methods of motion measurement in precision engineering, which its measurement accuracy and speed perform very well. Gradient-based techniques represent a very popular class of approaches to measuring motions. A robust multiscale algorithm of hierarchical estimation for gradient- basedmotion estimation is proposed in this paper using a combination of robust statistical method and multiscale technique. In such a multiscale approach of hierarchical estimation, motion at each level of the pyramid is estimated using different gradient filters. The iterative multiscaleestimation begins by using 5-tap Central filter, and it isswitched to 9-tap Timoner filter after a few iterations. Inaddition, robust M-estimators are applied at each level of the pyramid in order to overcome the problem of the outliers caused by illumination variations and motion discontinuities in motion estimates. Experimental simulations show that the new algorithm not only provides an improvement in estimator accuracy, but also achieves computational speedups for motion measurement of MEMS image.

关键词： motion measurement robust hierarchical multiscale gradient-based

作者: Qinghua Lu Xianmin Zhang

作者单位: College of Mechanical Engineering, South China University of Technology, Guangzhou,Guangdong Province, China

会议类型: 国际会议

会议名称: 2007年微纳系统集成及其商业化应用国际学术会议(2007 International Conference & Exhibition on Integration and Commercialization of Micro and Nano-Systems)

会议地点: 海南三亚

会议语种:英文

在线出版日期: 2007-01-10（万方平台首次上网日期，不代表论文的发表时间）