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Proceedings Paper

Three-dimensional location estimation of target pellet for ICF
Author(s): Zhi-jiang Zhang; Yingjie Yu
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Paper 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’.

Paper Details

Date Published: 5 February 2003
PDF: 8 pages
Proc. SPIE 4796, Low-Light-Level and Real-Time Imaging Systems, Components, and Applications, (5 February 2003); doi: 10.1117/12.452075
Show Author Affiliations
Zhi-jiang Zhang, Shanghai Univ. (China)
Yingjie Yu, Shanghai Univ. (China)

Published in SPIE Proceedings Vol. 4796:
Low-Light-Level and Real-Time Imaging Systems, Components, and Applications
C. Bruce Johnson; Divyendu Sinha; Phillip A. Laplante, Editor(s)

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