Machine vision: the motion parameters estimation--an improved method

Hong-Bing Gao; Ke-Chong Yang; Shuzi Yang

doi:10.1117/12.156286

22 September 1993 Machine vision: the motion parameters estimation--an improved method

Hong-Bing Gao, Ke-Chong Yang, Shuzi Yang

Proceedings Volume 2101, Measurement Technology and Intelligent Instruments; (1993) https://doi.org/10.1117/12.156286
Event: Measurement Technology and Intelligent Instruments, 1993, Wuhan, China

Abstract

In the first part of this paper the method of the motion parameters estimation obtained by Hormos Shariat and Keith F. Price is introduced. and then a newly improved method which is based on the original method ob tamed by H. shariat and K. E. Price is presented. At last The improved method is compared with the original method. For synthetic test data and real image sequences the original method and the improved method are used to estimate motion parameters. GaussNewton algorithm is used to solve the system of nonlinear equations given by the above two method. We can find that the improved method has more advantages than the original method. So the improved method is a very valuable method. Keywords :Machine Vision Motion Parameter Robotics

Citation Download Citation

Hong-Bing Gao, Ke-Chong Yang, and Shuzi Yang "Machine vision: the motion parameters estimation--an improved method", Proc. SPIE 2101, Measurement Technology and Intelligent Instruments, (22 September 1993); https://doi.org/10.1117/12.156286

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