Three-dimensional location estimation of target pellet for ICF

Zhi-jiang Zhang; Yingjie Yu

doi:10.1117/12.452075

5 February 2003 Three-dimensional location estimation of target pellet for ICF

Zhi-jiang Zhang, Yingjie Yu

Proceedings Volume 4796, Low-Light-Level and Real-Time Imaging Systems, Components, and Applications; (2003) https://doi.org/10.1117/12.452075
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

Pellet's position is the key of ICF. The paper introduces an automatic orientation method using two cameras. It based on the 2-D image coordinates resolve the 3-D information. Two steps are considered. Firstly, 3-D orientation is estimated by auto-focus algorithm using pellet edge location to subpixel values in 2-D digital imagery. Secondly, 3-D position is estimated by centroid algorithm and auto-focus algorithm. By this way, it can ignore the forms of pellet edge. In the paper, analytical formulations of the problem are given. It also gives analyse between the centroid algorithm and edge fit algorithm in accuracy. Defocus factors have been compensated in order to obtain accurate estimates of the parameters by the imaged edges. The experiments have shown the accuracy of location pellet can reach 0.2 um, and orientation pellet can reach 3’.

Citation Download Citation

Zhi-jiang Zhang and Yingjie Yu "Three-dimensional location estimation of target pellet for ICF", Proc. SPIE 4796, Low-Light-Level and Real-Time Imaging Systems, Components, and Applications, (5 February 2003); https://doi.org/10.1117/12.452075

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