Three-dimensional location estimation of target pellet for ICF

Zhi-jiang Zhang; Yingjie Yu

doi:10.1117/12.452075

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, Zhi-jiang Zhang, Yingjie Yu, 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); doi: 10.1117/12.452075; https://doi.org/10.1117/12.452075

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years